With a connection to over 46 million cars per year for inspection or diagnostics, Opus IVS, along with its parent company, Opus Group, has revolutionized collision scanning. A maj

Opus IVS Leads Industry surpassing 10,000 Daily Collision Scans

For complete information about, and access to, our official publications and services, go to About the Federal Register on NARA's archives.gov. The OFR/GPO partnership is committed to presenting accurate and reliable regulatory information on ...

Federal Acquisition Regulation: Cyber Threat and Incident Reporting and Information Sharing

LONDON, Oct 18 (Reuters) - Britain will host the world's first global artificial intelligence ... has said the technology could be used by criminals and terrorists to create weapons of mass ...

Britain aims for global leadership role with AI safety summit

Shares of L&T Technology Services (LTTS ... with hyper scalers and chip companies is helping us develop AI solutions and services that address the needs of industries like auto, manufacturing ...

L&T Technology Services declines over 5% as firm cuts revenue guidance for FY24

New leader to expand go-to-market strategy and execution for sales, marketing, and global business units SANTA CLARA, Calif., October 16, 2023--(BUSINESS WIRE)--GlobalLogic Inc., a Hitachi Group ...

GlobalLogic Appoints Technology Services Veteran Srinivas Shankar as Chief Business Officer & Head of Global Industries

they will need experienced business information technology experts who can help them create and manage the digital infrastructure to implement these solutions. Also, as cybersecurity challenges grow more widespread, businesses will need to know that their ...

Business Information Technology Jobs & Careers

Fintel reports that on October 12, 2023, Seaport Global initiated coverage of Fidelity National Information Services (NYSE ... is a leading provider of technology solutions for merchants, banks ...

Seaport Global Initiates Coverage of Fidelity National Information Services (FIS) with Neutral Recommendation

Anchored to a set of dual stereo cameras located by the rear-view mirror, the technology operates like ... Subaru vehicles are built on the Subaru Global Platform, which can be adapted to the ...

Here's how technology is helping car owners stay safe and comfortable

Enhance the resiliency of your energy grid with our energy efficiency and demand response solutions. Our webinar tells you more about these flexible, turnkey programs!

Smart Grid Solutions Programs and Services

Energy Information Administration (EIA ... Analysis Angelina LaRose discussed energy supply and demand and analyzed global trends at an event hosted by the Center for Strategic and International ...

Energy Information Administrator on Global Trends

Get the most recent info and news about Octos Global Solutions on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

Octos Global- Leading Software Development Company in California, US. We offer Web Designing & Mobile App Development & other IT related services in US.

Octos Global Solutions

Authors:
(1) Ankur Nath, Department of Computer Science and Engineering, Texas A&M University;
(2) Alan Kuhnle, Department of Computer Science and Engineering, Texas A&M University. Table of Links Abstract & Introduction Related work Evaluation for Max-Cut Evaluation for SAT Summary and Outlook, References Supplementary Materials 5 SUMMARY and OUTLOOK Through our empirical evaluations, our goal is to promote an insightful comparison within the research focusing on the intersection of combinatorial optimization and machine learning. In order to provide the research community with valuable guidance, we believe it is imperative to communicate both the strengths and weaknesses of the proposed approaches. Poor instances and baseline selection may give the wrong impression about the performance of learned heuristics. Specifically, it is important to articulate the degree of improvement achieved through integrating classical heuristics with deep learning architectures and conduct a thorough comparison with classical heuristics. This will aid in elucidating the degree to which deep learning architectures enhance integrated heuristics. It assists in ascertaining whether the integration endeavor is justified and warrants the allocation of computational resources, time, and investment necessary for integrating deep learning with classical heuristics. References Albert, R. and Barab´asi, A.-L. (2002). Statistical mechanics of complex networks. Reviews of modern physics, 74(1):47. Barrett, T., Clements, W., Foerster, J., and Lvovsky, A. (2020). Exploratory combinatorial optimization with reinforcement learning. In Proceedings of the AAAI conference on artificial intelligence, volume 34, pages 3243–3250. Barrett, T. D., Parsonson, C. W., and Laterre, A. (2022). Learning to solve combinatorial graph partitioning problems via efficient exploration. arXiv preprint arXiv:2205.14105. Battiti, R. and Protasi, M. (1997). Reactive search, a history-sensitive heuristic for max-sat. Journal of Experimental Algorithmics (JEA), 2:2–es. Battiti, R. and Tecchiolli, G. (1994). The reactive tabu search. ORSA journal on computing, 6(2):126–140. Bello, I., Pham, H., Le, Q. V., Norouzi, M., and Bengio, S. (2016). Neural combinatorial optimization with reinforcement learning. arXiv preprint arXiv:1611.09940. Bengio, Y., Lodi, A., and Prouvost, A. (2021). Machine learning for combinatorial optimization: a methodological tour d’horizon. European Journal of Operational Research, 290(2):405–421. Benlic, U. and Hao, J.-K. (2013). Breakout local search for the max-cutproblem. Engineering Applications of Artificial Intelligence, 26(3):1162–1173. Boettcher, S. and Percus, A. G. (2001). Extremal optimization for graph partitioning. Physical Review E, 64(2):026114. CPLEX (2023). Cplex. https://www.ibm.com/products/ilog-cplexoptimization-studio/cplex-optimizer. Dong, Y., Goldberg, A. V., Noe, A., Parotsidis, N., Resende, M. G., and Spaen, Q. (2021). New instances for maximum weight independent set from a vehicle routing application. In Operations Research Forum, volume 2, pages 1–6. Springer. E´en, N. and S¨orensson, N. (2003). An extensible satsolver. In International conference on theory and applications of satisfiability testing, pages 502–518. Springer. Elsokkary, N., Khan, F. S., La Torre, D., Humble, T. S., and Gottlieb, J. (2017). Financial portfolio management using d-wave quantum optimizer: The case of abu dhabi securities exchange. Technical report, Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States). Erd˝os, P., R´enyi, A., et al. (1960). On the evolution of random graphs. Publ. math. inst. hung. acad. sci, 5(1):17–60. Festa, P. and Resende, M. G. (2009). Hybrid grasp heuristics. In Foundations of Computational Intelligence Volume 3: Global Optimization, pages 75–100. Springer. Flint, A. and Blaschko, M. (2012). Perceptron learning of sat. Advances in neural information processing systems, 25. Fujishige, S. (2005). Submodular functions and optimization. Elsevier. Ganesh, V., Singh, R., Near, J. P., and Rinard, M. (2009). Avatarsat: An auto-tuning boolean sat solver. Glover, F. (1990). Tabu search: A tutorial. Interfaces, 20(4):74–94. Goemans, M. X. and Williamson, D. P. (1995). Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming. Journal of the ACM (JACM), 42(6):1115–1145. Grozea, C. and Popescu, M. (2014). Can machine learning learn a decision oracle for np problems? a test on sat. Fundamenta Informaticae, 131(3- 4):441–450. Haim, S. and Walsh, T. (2009). Restart strategy selection using machine learning techniques. In International Conference on Theory and Applications of Satisfiability Testing, pages 312–325. Springer. Helmberg, C. and Rendl, F. (2000). A spectral bundle method for semidefinite programming. SIAM Journal on Optimization, 10(3):673–696. Hoos, H. H. et al. (2002). An adaptive noise mechanism for walksat. In AAAI/IAAI, pages 655–660. Jaszczur, S., Luszczyk, M., and Michalewski, H. (2020). Neural heuristics for sat solving. arXiv preprint arXiv:2005.13406. Karp, R. M. (1972). Reducibility among Combinatorial Problems, pages 85–103. Springer US, Boston, MA. Khalil, E., Dai, H., Zhang, Y., Dilkina, B., and Song, L. (2017). Learning combinatorial optimization algorithms over graphs. Advances in neural information processing systems, 30. KhudaBukhsh, A. R., Xu, L., Hoos, H. H., and LeytonBrown, K. (2016). Satenstein: Automatically building local search sat solvers from components. Artificial Intelligence, 232:20–42. Kirkpatrick, S., Gelatt Jr, C. D., and Vecchi, M. P. (1983). Optimization by simulated annealing. science, 220(4598):671–680. Kurin, V., Godil, S., Whiteson, S., and Catanzaro, B. (2020). Can q-learning with graph networks learn a generalizable branching heuristic for a sat solver? Advances in Neural Information Processing Systems, 33:9608–9621. Lauria, M., Elffers, J., Nordstr¨om, J., and Vinyals, M. (2017). Cnfgen: A generator of crafted benchmarks. In Theory and Applications of Satisfiability Testing–SAT 2017: 20th International Conference, Melbourne, VIC, Australia, August 28–September 1, 2017, Proceedings 20, pages 464–473. Springer. Lederman, G., Rabe, M., Seshia, S., and Lee, E. A. (2019). Learning heuristics for quantified boolean formulas through reinforcement learning. In International Conference on LearningRepresentations. Leleu, T., Yamamoto, Y., McMahon, P. L., and Aihara, K. (2019). Destabilization of local minima in analog spin systems by correction of amplitude heterogeneity. Physical review letters,122(4):040607. Li, C. M., Wei, W., and Zhang, H. (2007). Combining adaptive noise and look-ahead in local search for sat. In Theory and Applications of Satisfiability Testing– SAT 2007: 10th International Conference, Lisbon, Portugal, May 28-31, 2007. Proceedings 10, pages 121–133. Springer. Liang, J. H., Ganesh, V., Poupart, P., and Czarnecki, K. (2016). Learning rate based branching heuristic for sat solvers. In Theory and Applications of Satisfiability Testing–SAT 2016: 19th International Conference, Bordeaux, France, July 5-8, 2016, Proceedings 19, pages 123–140. Springer. Manchanda, S., Mittal, A., Dhawan, A., Medya, S., Ranu, S., and Singh, A. (2019). Learning heuristics over large graphs via deep reinforcement learning. arXiv preprint arXiv:1903.03332. Mazure, B., Sais, L., and Gr´egoire, E. (1997). Tabu ´ search for sat. In Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence, pages 281–285. McAllester, D., Selman, B., Kautz, H., et al. (1997). Evidence for invariants in local search. In AAAI/IAAI, pages 321–326. Rhode Island, USA. Mitchell, D., Selman, B., Levesque, H., et al. (1992). Hard and easy distributions of sat problems. In Aaai, volume 92, pages 459–465. Perdomo-Ortiz, A., Dickson, N., Drew-Brook, M., Rose, G., and Aspuru-Guzik, A. (2012). Finding low-energy conformations of lattice protein models by quantum annealing. Scientific reports, 2(1):1–7. Selman, B., Kautz, H. A., Cohen, B., et al. (1993). Local search strategies for satisfiability testing. Cliques, coloring, and satisfiability, 26:521–532. Selman, B., Mitchell, D. G., and Levesque, H. J. (1996). Generating hard satisfiability problems. Artificial intelligence, 81(1-2):17–29. Tiunov, E. S., Ulanov, A. E., and Lvovsky, A. (2019). Annealing by simulating the coherent ising machine. Optics express, 27(7):10288–10295. Toenshoff, J., Ritzert, M., Wolf, H., and Grohe, M. (2019). Graph neural networks for maximum constraint satisfaction. Frontiers in artificial intelligence, 3:580607. Venturelli, D. and Kondratyev, A. (2019). Reverse quantum annealing approach to portfolio optimization problems. Quantum Machine Intelligence, 1(1- 2):17–30. Wolpert, D. H. and Macready, W. G. (1997). No free lunch theorems for optimization. IEEE transactions on evolutionary computation, 1(1):67–82. Ye, Y. (2003). The gset dataset. https://web.stanford.edu/ yyye/yyye/Gset/. Yolcu, E. and P´oczos, B. (2019). Learning local search heuristics for boolean satisfiability. Advances in Neural Information Processing Systems, 32. This paper is available on arxiv under CC 4.0 DEED license. Authors: (1) Ankur Nath, Department of Computer Science and Engineering, Texas A&M University; (2) Alan Kuhnle, Department of Computer Science and Engineering, Texas A&M University. Authors: Authors: (1) Ankur Nath, Department of Computer Science and Engineering, Texas A&M University; (2) Alan Kuhnle, Department of Computer Science and Engineering, Texas A&M University. Table of Links Abstract & Introduction Abstract & Introduction Related work Related work Evaluation for Max-Cut Evaluation for Max-Cut Evaluation for SAT Evaluation for SAT Summary and Outlook, References Summary and Outlook, References Supplementary Materials Supplementary Materials 5 SUMMARY and OUTLOOK Through our empirical evaluations, our goal is to promote an insightful comparison within the research focusing on the intersection of combinatorial optimization and machine learning. In order to provide the research community with valuable guidance, we believe it is imperative to communicate both the strengths and weaknesses of the proposed approaches. Poor instances and baseline selection may give the wrong impression about the performance of learned heuristics. Specifically, it is important to articulate the degree of improvement achieved through integrating classical heuristics with deep learning architectures and conduct a thorough comparison with classical heuristics. This will aid in elucidating the degree to which deep learning architectures enhance integrated heuristics. It assists in ascertaining whether the integration endeavor is justified and warrants the allocation of computational resources, time, and investment necessary for integrating deep learning with classical heuristics. References Albert, R. and Barab´asi, A.-L. (2002). Statistical mechanics of complex networks. Reviews of modern physics, 74(1):47. Barrett, T., Clements, W., Foerster, J., and Lvovsky, A. (2020). Exploratory combinatorial optimization with reinforcement learning. In Proceedings of the AAAI conference on artificial intelligence, volume 34, pages 3243–3250. Barrett, T. D., Parsonson, C. W., and Laterre, A. (2022). Learning to solve combinatorial graph partitioning problems via efficient exploration. arXiv preprint arXiv:2205.14105. Battiti, R. and Protasi, M. (1997). Reactive search, a history-sensitive heuristic for max-sat. Journal of Experimental Algorithmics (JEA), 2:2–es. Battiti, R. and Tecchiolli, G. (1994). The reactive tabu search. ORSA journal on computing, 6(2):126–140. Bello, I., Pham, H., Le, Q. V., Norouzi, M., and Bengio, S. (2016). Neural combinatorial optimization with reinforcement learning. arXiv preprint arXiv:1611.09940. Bengio, Y., Lodi, A., and Prouvost, A. (2021). Machine learning for combinatorial optimization: a methodological tour d’horizon. European Journal of Operational Research, 290(2):405–421. Benlic, U. and Hao, J.-K. (2013). Breakout local search for the max-cutproblem. Engineering Applications of Artificial Intelligence, 26(3):1162–1173. Boettcher, S. and Percus, A. G. (2001). Extremal optimization for graph partitioning. Physical Review E, 64(2):026114. CPLEX (2023). Cplex. https://www.ibm.com/products/ilog-cplexoptimization-studio/cplex-optimizer. Dong, Y., Goldberg, A. V., Noe, A., Parotsidis, N., Resende, M. G., and Spaen, Q. (2021). New instances for maximum weight independent set from a vehicle routing application. In Operations Research Forum, volume 2, pages 1–6. Springer. E´en, N. and S¨orensson, N. (2003). An extensible satsolver. In International conference on theory and applications of satisfiability testing, pages 502–518. Springer. Elsokkary, N., Khan, F. S., La Torre, D., Humble, T. S., and Gottlieb, J. (2017). Financial portfolio management using d-wave quantum optimizer: The case of abu dhabi securities exchange. Technical report, Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States). Erd˝os, P., R´enyi, A., et al. (1960). On the evolution of random graphs. Publ. math. inst. hung. acad. sci, 5(1):17–60. Festa, P. and Resende, M. G. (2009). Hybrid grasp heuristics. In Foundations of Computational Intelligence Volume 3: Global Optimization, pages 75–100. Springer. Flint, A. and Blaschko, M. (2012). Perceptron learning of sat. Advances in neural information processing systems, 25. Fujishige, S. (2005). Submodular functions and optimization. Elsevier. Ganesh, V., Singh, R., Near, J. P., and Rinard, M. (2009). Avatarsat: An auto-tuning boolean sat solver. Glover, F. (1990). Tabu search: A tutorial. Interfaces, 20(4):74–94. Goemans, M. X. and Williamson, D. P. (1995). Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming. Journal of the ACM (JACM), 42(6):1115–1145. Grozea, C. and Popescu, M. (2014). Can machine learning learn a decision oracle for np problems? a test on sat. Fundamenta Informaticae, 131(3- 4):441–450. Haim, S. and Walsh, T. (2009). Restart strategy selection using machine learning techniques. In International Conference on Theory and Applications of Satisfiability Testing, pages 312–325. Springer. Helmberg, C. and Rendl, F. (2000). A spectral bundle method for semidefinite programming. SIAM Journal on Optimization, 10(3):673–696. Hoos, H. H. et al. (2002). An adaptive noise mechanism for walksat. In AAAI/IAAI, pages 655–660. Jaszczur, S., Luszczyk, M., and Michalewski, H. (2020). Neural heuristics for sat solving. arXiv preprint arXiv:2005.13406. Karp, R. M. (1972). Reducibility among Combinatorial Problems, pages 85–103. Springer US, Boston, MA. Khalil, E., Dai, H., Zhang, Y., Dilkina, B., and Song, L. (2017). Learning combinatorial optimization algorithms over graphs. Advances in neural information processing systems, 30. KhudaBukhsh, A. R., Xu, L., Hoos, H. H., and LeytonBrown, K. (2016). Satenstein: Automatically building local search sat solvers from components. Artificial Intelligence, 232:20–42. Kirkpatrick, S., Gelatt Jr, C. D., and Vecchi, M. P. (1983). Optimization by simulated annealing. science, 220(4598):671–680. Kurin, V., Godil, S., Whiteson, S., and Catanzaro, B. (2020). Can q-learning with graph networks learn a generalizable branching heuristic for a sat solver? Advances in Neural Information Processing Systems, 33:9608–9621. Lauria, M., Elffers, J., Nordstr¨om, J., and Vinyals, M. (2017). Cnfgen: A generator of crafted benchmarks. In Theory and Applications of Satisfiability Testing–SAT 2017: 20th International Conference, Melbourne, VIC, Australia, August 28–September 1, 2017, Proceedings 20, pages 464–473. Springer. Lederman, G., Rabe, M., Seshia, S., and Lee, E. A. (2019). Learning heuristics for quantified boolean formulas through reinforcement learning. In International Conference on LearningRepresentations. Leleu, T., Yamamoto, Y., McMahon, P. L., and Aihara, K. (2019). Destabilization of local minima in analog spin systems by correction of amplitude heterogeneity. Physical review letters,122(4):040607. Li, C. M., Wei, W., and Zhang, H. (2007). Combining adaptive noise and look-ahead in local search for sat. In Theory and Applications of Satisfiability Testing– SAT 2007: 10th International Conference, Lisbon, Portugal, May 28-31, 2007. Proceedings 10, pages 121–133. Springer. Liang, J. H., Ganesh, V., Poupart, P., and Czarnecki, K. (2016). Learning rate based branching heuristic for sat solvers. In Theory and Applications of Satisfiability Testing–SAT 2016: 19th International Conference, Bordeaux, France, July 5-8, 2016, Proceedings 19, pages 123–140. Springer. Manchanda, S., Mittal, A., Dhawan, A., Medya, S., Ranu, S., and Singh, A. (2019). Learning heuristics over large graphs via deep reinforcement learning. arXiv preprint arXiv:1903.03332. Mazure, B., Sais, L., and Gr´egoire, E. (1997). Tabu ´ search for sat. In Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence, pages 281–285. McAllester, D., Selman, B., Kautz, H., et al. (1997). Evidence for invariants in local search. In AAAI/IAAI, pages 321–326. Rhode Island, USA. Mitchell, D., Selman, B., Levesque, H., et al. (1992). Hard and easy distributions of sat problems. In Aaai, volume 92, pages 459–465. Perdomo-Ortiz, A., Dickson, N., Drew-Brook, M., Rose, G., and Aspuru-Guzik, A. (2012). Finding low-energy conformations of lattice protein models by quantum annealing. Scientific reports, 2(1):1–7. Selman, B., Kautz, H. A., Cohen, B., et al. (1993). Local search strategies for satisfiability testing. Cliques, coloring, and satisfiability, 26:521–532. Selman, B., Mitchell, D. G., and Levesque, H. J. (1996). Generating hard satisfiability problems. Artificial intelligence, 81(1-2):17–29. Tiunov, E. S., Ulanov, A. E., and Lvovsky, A. (2019). Annealing by simulating the coherent ising machine. Optics express, 27(7):10288–10295. Toenshoff, J., Ritzert, M., Wolf, H., and Grohe, M. (2019). Graph neural networks for maximum constraint satisfaction. Frontiers in artificial intelligence, 3:580607. Venturelli, D. and Kondratyev, A. (2019). Reverse quantum annealing approach to portfolio optimization problems. Quantum Machine Intelligence, 1(1- 2):17–30. Wolpert, D. H. and Macready, W. G. (1997). No free lunch theorems for optimization. IEEE transactions on evolutionary computation, 1(1):67–82. Ye, Y. (2003). The gset dataset. https://web.stanford.edu/ yyye/yyye/Gset/. Yolcu, E. and P´oczos, B. (2019). Learning local search heuristics for boolean satisfiability. Advances in Neural Information Processing Systems, 32. This paper is available on arxiv under CC 4.0 DEED license. This paper is available on arxiv under CC 4.0 DEED license. available on arxiv

Assessing the Justification for Integrating Deep Learning in Combinatorial Optimization

Typically, when we discuss in the IT context, our focus tends to be on a single team. We define the optimal team size, select the necessary specialists, and ensure effective communication among them. team management The problem As companies grow in success, their functionality expands, and so do their development teams. It is then we encounter challenges that often go unnoticed by team leaders: issues of inter-team interaction and communication. The increase in the number of teams and their functions can lead to duplicated work, inefficient use of resources, conflicts, and misunderstandings. Communication becomes more complex, especially when teams work on interdependent parts of a project. To address these challenges, a clear system of communication and interaction between teams needs to be implemented. Team leaders should not only identify and resolve conflicts but also ensure proper coordination and support among teams. Such an approach will allow for the successful implementation of large IT projects while maintaining high company efficiency overall. The importance of interaction between teams cannot be overstated, as it not only facilitates efficient task execution but also fosters innovative solutions through the exchange of ideas and experiences. Introducing regular meetings between team leaders, using shared project management tools, and organizing corporate events to strengthen team spirit are crucial steps. The root cause of the problem Let's examine the nature of these problems. Consider the typical issues of such interaction through the example of a company developing a large e-commerce portal. We have many cross-functional development teams, each responsible for a specific part of the project: one for the shopping cart (Product Cart Team), another for the product catalog (Product Catalog Team), etc. This setup looks quite standard and acceptable. Each team has its product owner and works on its services. However, it's clear that the work of the teams cannot be completely isolated from each other. There are often certain integration points or services used by several teams. The simplest and most logical solution is to define a common responsibility for this code. That is, we can all make changes to these services, so we all are responsible for this code. Unfortunately, this strategy works very poorly in the long term. A phenomenon known as comes into play. " the tragedy of the commons " This phenomenon occurs in a situation where many individuals, whose actions are independent, rational, and solely in their interests, deplete shared resources, even though each of these individuals is not interested in such a scenario happening. Projecting this onto the code of your service, it's likely to " " because each team will be adding functionality that only they need. Functions will proliferate, the amount of unused code will grow, and the structure will become disorganized, among other issues. In simple terms — services with shared responsibility are orphans with no parents. smell How to deal with the tragedy of the commons Thus, we can conclude that components with shared responsibility cannot exist in our codebase: each segment of code should have its specific owner. A new problem arises: imagine that the Product Cart Team needs to make changes to the Product Catalog page. For example, we want to add a cart thumbnail next to the catalog filters. Let's consider possible solutions to this problem. The classic method of solving this involves creating a task in the backlog of another team. In other words, the product owner of the Product Cart Team initiates a task in the Product Catalog Team's backlog and waits for its completion. This solution seems logical but hides numerous potential difficulties. Since the task is a priority for another team, the product catalog team may not rush its completion. Therefore, the product owner will have to regularly remind them of the task's priority and clarify the status of its execution. It's also obvious that the Product Catalog Team will have to interact with system elements better understood by the Product Cart Team. Thus, the development process slows down even more due to the need for constant knowledge exchange between teams, which, although beneficial, is suboptimal in this context. The approach of the “trusted expert” The first option involves creating a task within the team whose product manager has developed the specification. That is, in our case, the Product Cart Team of the product initiates a task for integrating the product card into the product catalog. However, the Product Cart Team does not own the codebase of the product catalog, and if its developer starts making changes to the catalog, this will lead to a situation akin to shared responsibility, carrying all the risks and problems described earlier. To solve this issue, we can suggest a developer from the Product Catalog Team temporarily join the Product Cart Team. This will allow the Product Cart Team to share knowledge more efficiently, and the changes will be made by a team member who owns the codebase of the catalog. The entire process will take place within one team with minimal impact on the operation of the catalog team, except for the temporary absence of one developer. This practice can be applied to all the company's teams, regularly rotating specialists among teams. A detailed rotation schedule for adjacent teams can be created to improve knowledge exchange and increase overall awareness of the company's codebase. This will not only facilitate more harmonious cooperation between teams but also increase project management flexibility, as each team member will have a broader overview of the company's projects and be able to interact more effectively with different parts of the codebase. Embed a developer The second option, similar to the first, involves reversing the order of actions. The product owner of the Product Cart Team creates a task in the Product Catalog Team's backlog, and one of the developers from the Product Cart Team temporarily becomes a member of the Product Catalog Team. This approach also ensures knowledge transfer between teams while adhering to the principle of strict responsibility for one's code. The main advantage of this option is that the task is solved by the responsible team, which is more likely to ensure a higher-quality code review process. However, a significant drawback is the execution of the task by a team that is not the customer of the functionality. Documenting of responsibilities Another important aspect is control over code ownership. If we’re using multiple repositories, identifying the team responsible for a particular repository is straightforward – this can be indicated in the . However, in the case of using a large , an effective solution would be to create a detailed . README file monorepo CODEOWNERS file # These owners will be the default owners for everything in
# the repo. Unless a later match takes precedence,
# @global-owner1 and @global-owner2 will be requested for
# review when someone opens a pull request.
*              @global-owner1 @global-owner2

# When someone opens a pull request that only
# modifies JS files, only @js-owner and not the global
# owner(s) will be requested for a review.
*.js           @js-owner

# You can also use email addresses if you prefer. They'll be
# used to look up users just like we do for commit author
# emails.
*.go           docs@example.com

# Teams can be specified as code owners as well. Teams should
# be identified in the format @org/team-name. Teams must have
# explicit write access to the repository. In this example,
# the octocats team in the octo-org organization owns all .txt files.
*.txt          @octo-org/octocats

# In this example, @octocat owns any file in a `/logs` directory such as
# `/build/logs`, `/scripts/logs`, and `/deeply/nested/logs`. Any changes
# in a `/logs` directory will require approval from @octocat.
**/logs @octocat

# In this example, @doctocat owns any files in the build/logs
# directory at the root of the repository and any of its
# subdirectories.
/build/logs/   @doctocat

# In this example, @octocat owns any file in the `/apps`
# directory in the root of your repository except for the `/apps/github`
# subdirectory, as its owners are left empty.
/apps/         @octocat
/apps/github

# In this example, @octocat owns any file in the `/apps`
# directory in the root of your repository except for the `/apps/github`
# subdirectory, as this subdirectory has its own owner @doctocat
/apps/         @octocat
/apps/github   @doctocat We should not forget about the value of knowledge transfer between teams. Therefore, I would recommend conducting periodic rotations of developers between teams, even without a direct need for it. This will not only increase the developers' interest in their work but also make all team members truly cross-functional.

Orchestrating the Code Maze: Strategies for Effective Collaboration Amongst Development Teams

Chaos in Code: AI Assistants Clash in a Battle for Digital Supremacy

Hacker Noon 2.0: Origin Story And Raising Funds

What we, as a society, are experiencing today because of this pandemic is profoundly unique to our generation. Not one single society has ever experienced such a vast global digital mobilization and . workforce-related shift Not long ago, in times like these, economies were halted and most people were afraid to perform economical transactions because they had to rely on human interaction. Now, the internet has opened a new world for everyone. What SARS-COVID-19 does to our society will have a long-term impact on how we think and do business. And these changes might be permanent. Despite the already known bad sides of the pandemic that we see in our day to day lives, there are some possible upsides that the media hasn’t had time to investigate. With certain roles becoming redundant due to the disruption, it’s safe to say that more and more people will start looking for alternative revenue sources, including online businesses. We saw a glimpse of this a couple of years ago when the shift to freelancing allowed a new generation of workers to generate new income for their household. But they relied on marketplaces that were already built. Today, it might be possible to jump to a potential new paradigm, where there are online businesses that are created by individuals, and instead of hiring employees to perform specific actions, they hire other online businesses to fulfill a specific need. Meanwhile, businesses that have previously relied on offline transactions are now faced with the need to move online, due to the lockdown. We might be shifting from offline businesses and freelancing, to something… new? But this is just the beginning and nobody can tell for sure how things will turn out. You might call it, . Ehh, time will tell. the acceleration of digitalization Being Cloud Experts and understanding what’s happening to a business’s online architecture, we want to present the following (+ a solution at the end). What roles are managing the business’s cloud infrastructure? The Research We started with the United States, because that’s where most of the cloud providers are based. We looked into LinkedIn’s data and tried to see what’s the status of the US market when it comes to cloud-based businesses. We searched for all the people that had the Chief Technology Officer in their job title. We cross-referenced the number of CTO’s with the top 10 industries (that mattered to us) and with their time in their current position. We did this because the CTO’s (or in the case of bigger companies, someone with the role of IT Manager/Infrastructure Manager) should be the main persons that take care of a company’s cloud infrastructure. This responsibility implies that the CTO must have a profound understanding of the technology and servers they use, and all the packages and dependencies that are related to that infrastructure. He is the sole responsible for driving online business growth. The Analysis Let’s dive into the numbers. What we can see is that out of 16716 CTO’s, 76% of them (top 3 industries) are working in/for companies that rely on the internet. We can correlate that the demand for CTO’s in these industries are growing every year, due to the fact that more and more businesses understand the shift towards digitalization. If we take the top 3 industries and look at the headcount of the business, we can see the following graph. Right from the start, we can see that companies that have between 1 and 200 employees are the ones that have the highest need for CTO’s. This might mean that smaller companies, that are presumably more agile, understand the fundamental need of a CTO, due to their online business model. Also, if we investigate the time these CTO’s have been in their position, at their current company, we see that some industries are adapted to the online business model (Information Technology & Services, Computer Software, Internet) and they tend to keep their CTO’s on a long term. * the fact that there are 2475 CTO’s that started almost 2 years ago in their current job, at the above mentioned 3 industries, does not mean that with the passing of time, eventually, they won’t be moving to the next categories (3–5 years, 6–10 years, more than 10 years). The final statistics, let’s cross-reference the lifespan of a CTO job title with the company size. We can correlate once again, that the companies between 1–200 employees, being more presumably agile, have a bigger need for technical leadership in the key position for digitalization. The Results At first glance, these numbers might be interpreted as positive. However, when we take into account the size of US industries, we can actually see that they’re more negative than expected. There are 17.383 CTO’s on LinkedIn, in the 10 industries we’ve looked for. But in these 10 industries, there are 1.335.646 companies. This means that only 1% of these companies have a proper person/team to take care of their online infrastructure. We can presume that the other 99% are on the traditional Shared Hosting or VPS model (or they simply haven’t asked their CTO to update his LinkedIn profile). And not to mention that there will be more companies created by individuals working from home. And they don’t have the proper knowledge to create an online infrastructure. They don’t need to. All they might need is to have a platform/portal/interface to create a server and to one-click install a CMS (like Wordpress) or an e-commerce shop (like Magento). And for the businesses, they didn’t have an urgency to migrate to the cloud, because their client’s online behavior was (almost) predictable and it could be aided by offline events (ex: presentations, meetings, brick&mortar shops, etc). But with this sudden twist of circumstance, almost all the population that is in lockdown will have but one option to “connect” and buy “stuff”. And that’s through the internet. From a different angle, when the internet appeared, the fax machine was vastly used amongst the B2B sector. And because of the technical requirements that “being on the internet” involved, not a lot of companies switched fast enough. When you fast forward a couple of years, it is clear that the companies that relied solely on the fax machine (aka the late adopters of the internet) had a great disadvantage against their competitors, who already “switched to online”. Extrapolating the analogy, we pre-emptively presume that businesses that solely rely on Shared Hosting & VPS will soon face a difficult challenge. What used to be a good choice, now it won’t be. Shared Hosting & VPS’s are not built for speed if traffic surges happen and it might crash their whole website/app. We estimate that in the following months, more companies will have to move to the cloud, and the ones that won’t, will have a higher price for their hosting. (because they need to upgrade to the next payment plan, because they need to accommodate the extra users on their website/app, because there are more users online, which is due to SARS-COVID-19). And on top of that, more and more individuals will create accounts with Shared Hosting & VPS companies, because that’s where the average know-how (on how to start an online business) is at the current time. This means that the server’s same CPU & RAM power will be distributed to even more accounts than before. All the shared resources will slow down due to extra accounts. It won’t matter if you’re a company or an individual. And because we can’t grow experienced CTO’s/cloud experts/technical persons overnight, and with a growing demand for digitalization, there might be a shortage of expertise so that everybody can switch to cloud. Because we want to democratize and raise the cloud adoption (+ that we’ve mentioned about the solution at the beginning of the article), read about our proposal below. When our founder, Alin Dobra, started thinking of our platform, he was working as a CTO at a well-known startup. Observing that being on cloud faced the same repetitive tasks, he decided to create a platform where all these tasks are automated. Years of experience and up to date adjustments are transformed into Bunnyshell, cloud management and automation platform that can suit and adjust to your cloud requirements through simple, clickable buttons. Bunnyshell is now a robust tool to Manage, Automate & Deploy everything from infrastructure management to application deployment. Following a $1.000.000 investment and within 1 year, big local brands like BestValue, GoMag, and others turned into Bunnyshell early adopters. Using our tool, of Bunnyshell and through it, they achieved easily, what used to take months. Cloud Freedom. What seems like “Cloud adoption”, fundamentally, the CTO and the owner of the company decided to implement our platform because they wanted better speed and uptime. And as technology advances, moving from Shared Hosting & VPS “to the Cloud” is the next stepping stone for most businesses. Therefore, as a conclusion. If you’re a company that wants to move to the cloud, but don’t know how or don’t have the proper team to do so, try Bunnyshell. If you want to create an online business from scratch, try . Bunnyshell To come and aid within this major pandemic, we’ve shifted our pricing to accommodate everybody’s needs. Hence, for the next 6 months, it gets easier for NGOs, Medical and Educational Industry, to build their online architecture because we’re offering a free account for all the companies (in these 3 industries) that are actively engaged in finding a solution amid SARS-COVID-19. For the SME that wants to migrate to the cloud, we halved our pricing plan for the next 12 months and offer . free migration to the cloud You take care of your business. We take care of your business. Better speed and uptime.

The Numbers Are In: Cloud Solutions are Driving and Accelerating Digitalization

For more content like this, follow & subscribe to our . ButterCMS on Twitter blog As a CTO it’s important to continuously be increasing your knowledge and network. One great way to do that is to attend technology conferences in your space. Below we highlight some of the top events that CTOs should consider attending for the remainder of 2017 and the start of 2018. The events below are listed in proximity to the actual date of the event. If you’re last minute, then start at the top. 1. This is a developer-oriented conference that explores the IoT and all of its associated technologies, like mobile, web, and the cloud. It’s also held at a and has plenty of family-oriented activities, so feel free to bring the family. That Conference Wisconsin waterpark Dates: August 7th-9th 2. This is a team-oriented event, so you may want to bring a few of your developers along. You’ll learn the skills you need to boost productivity, improve testing, and help you build better . There are both classes and topics covered, so you can build your own customized week of training. Software Testing Training Week software Dates: August 21–25 3. Do you need to up your knowledge of big data, the cloud, and security? This conference explores the latest trends in the above topics, and combines equal parts theory with practical application. If big data plays in role in the future of your company, then this event could be hugely beneficial. International Conference of ICT Dates: August 21–25 4. Jupyter Notebooks are a popular and powerful tool for sharing and communicating data analysis. Open source tools like this can help you solve “last mile” issues, and help to transform your existing workflows. If you’ve been thinking about implementing Jupyter into your development cycle, this conference is worth attending. JupyterCon New York City 2017 Dates: August 23–25 5. As a CTO, you may have an overlapping role as a CIO. But, even if you don’t, having a greater understanding of the latest developments in the IT space can be beneficial. This conference explores the future of the IT and CIO space. Gartner CIO & IT Executive Summit Cancun 2017 Dates: August 29–31 6. Having a deep understanding of data and analytics can help to transform your organization. This conference will help you gain a better understanding of data in your organization, highlight how to build a data-driven culture, and much more. Chief Data and Analytics Officer Melbourne 2017 Dates: September 4–6 7. This two day event is focused solely around data design and analysis. If you’re looking to better understand your data and improve your data literacy, then you’ll want to check out this conference. Data Visualization Summit Boston 2017 Dates: September 6–7 8. This conference will teach you best practices and techniques in application development and delivery, including things like microservices, DevOps, cloud and containers. nginx.conf 2017 Dates: September 6–8 9. This conference is all about analyzing the latest trends in product management. It can be easy to get caught up in doing without thinking about the bigger picture. This conference forces you to step back, get inspired, and really think about your own product. Industry Cleveland 2017 Dates: September 13–15 10. This conference explores the rapid escalation of security, privacy, and risk from an enterprise level perspective. Learn how you can implement better security practices to ensure long-term customer trust. Forrester Privacy and Security 2017 Dates: September 14–15 11. AI is going to shake up a lot of industries. This conference focuses on implementing AI in real-world projects, as well as its potential in industries yet to be disrupted by AI technology. It brings the top minds together to cut through the hype and deliver the most practical concepts, right now. O’Reilly Artificial Intelligence Conference San Francisco 2017 Dates: September 18–20 12. This conference focuses on the place where business and technology meet, and the collaboration tools and platforms that enable the process. If you’re looking to improve your collaboration across all existing channels, then this is the conference for you. Enterprise Business Collaboration Berlin 2017 Dates: September 18–20 13. This conference brings together senior executives who are responsible for implementing and optimizing their mobility strategies and solutions. Expect to gain new insights from top executives in the field. Transformation Exchange London 2017 Dates: September 19–20 14. This is a useful event if you’re looking to shake up your customer experience strategy. Speakers have been chosen to help you gain insights into the evolving digital landscape. You’ll learn about the latest innovations in mobile, social, AI, VoC, big data, and personalization. 4th Annual Digital Customer Experience Strategies Summit Dates: September 19–20 15. This conference is dedicated to the future of work. Part of being a CTO is team management and this will help you think about how to take your team into the future. WORKTECH17 Singapore Dates: September 19 16. This conference covers the latest trends surrounding product development and overall product lifecycle. It covers things like design thinking, the role of big data, rapid prototyping and deployment, identification and execution of new opportunities and more. Product Innovation Summit Boston 2017 Dates: September 25–26 17. The Driving Change Conference dives into new and innovative approaches to cultural, behavioral, and organizational change, which is a must-have for any CTO. It will cover topics like building long-term change goals, inspiring long-term staff engagement, behavior shifts and mindsets to help embrace change and much more. Driving Change Conference London 2017 Dates: September 27 18. STARWEST is one of the longest running conferences on software testing and quality assurance. Topics to be covered at this event include testing techniques, DevOps, leadership, project management, agile testing, and more. STARWEST Software Testing Conference Anaheim 2017 Dates: October 1–6 19. This conference will highlight the most innovative advancements and technologies that are affecting IoT. It’s part exhibition and part conference, for those looking to be informed on the latest advancements in this space. Business Meet on Cloud and Internet of Things 2017 Dates: October 2–3 20. DX Day will be all about how leading UK brands across eCommerce, retail and finance are managing their digital experiences. It highlights both the business and technical issues surrounding enterprise-scale projects. DX Day London 2017 Dates: October 3 21. This conference brings together leads across every part of the technology sector to show you how to thrive in today’s digital world. Join industry leaders like Google and IBM, in discussing topics like, collaboration, information management, and more. BoxWorks San Francisco 2017 Dates: October 10–13 22. Whether you’re a Fortune 500 company, or a startup, IoTBuild will be useful. It’s an event where business and technical experts will talk freely about how they’ve built IoT business models, applications, products, and services. The future of IoT is being built right now, will you be a part of it? IoTBuild San Francisco 2017 Dates: October 11–12 23. Crazy about content management? This is a content management system conference and expo that’s a great chance for you to learn about emerging product and network with like minded techies. If you’re a CTO in the CMS space, then this event is a must-attend. CMS Summit Orlando 2017 Dates: October 14–18 24. TechWeek holds several conferences throughout the year that focuses on innovations in technology. At each conference, they partner with entrepreneurs and investors to bring you the latest advancements and news in technology. TechWeek New York 2017 Dates: October 16–20 25. This conference offers insights for security decision makers about current best practices and the future of cyber security. If you want to learn from experts about how you can build stronger defense and quickly recover from attacks, then this is the conference for you. Cyber Security Chicago 2017 Date: October 18–19 26. This innovation summit is hosted by the research firm, Constellation Research. You’ll learn from technology visionaries, market leads, and see new product demos. Learn from the best and brightest in the technology space and where it’s headed into the future. Constellation’s Connected Enterprise 2017 Dates: October 25–27 27. This summit brings together some of the world’s leaders in this industry. From programmers to experience front-end developers, this summit will help you learn how to both visualize and integrate data into your company. Data Visualization Summit London 2017 Dates: November 2–3 28. Dare Mighty Things will change the way you see the world, and was voted one of the “8 Top Tech Conferences You Can’t Miss”, by Inc.. Learn from tech leaders, entrepreneurs, and venture capitalists who share their stories on creating breakthrough innovations. Dare Mighty Things Chicago 2017 Dates: November 3 29. This conference began back in 2010 with the idea to connect the technology community with all industries. If you’re looking to open your mind and see how other industries are utilizing and contributing to the advancement of technology, then this is worth attending. Web Summit Lisbon 2017 Dates: November 7–9 30. At this conference you’ll learn fresh and innovative approaches for capturing data insights and using them to make better business decisions, and drive performance. Collecting data isn’t enough, you need a thoughtful methodology for making that data actionable. The Implementing Actionable Data Insights Conference — Drive Performance London 2017 Dates: November 14 31. The Business Show is a free exhibition that provides a wealth of business motivation and knowledge. This event features business owners from a variety of industries that centers around expanding your business. The Business Show London 2017 Dates: November 16–17 32. This is the leading conference hosting by Amazon Web Services for the global cloud community. If you’re looking for ways you can utilize AWS effectively, then this learning-based conference is for you. AWS re:INVENT Las Vegas 2017 Dates: November 27 — December 1 33. This summit will focus on the developing mobile landscape and how to most effectively utilize it in your business. It offers strategies from the leaders of mobile and how they are using mobile within their existing companies. Mobile Innovation Summit San Francisco 2017 Dates: December 4–5 34. This conference will provide you with the latest research, development and trends in information security. At this conference you’ll find a combination of research presentations and hands-on trainings. Black Hat Europe 2017 Dates: December 4–7 35. Your customer can be your biggest detractor or your biggest supporter. This conference focuses on the idea that the future belongs to companies who develop customer advocates. It seeks to teach you how to both develop and mobilize advocates. Advocamp San Francisco 2017 Dates: December 6–8 36. AI World is the industry leading event on the current state of enterprise AI and machine learning. It’s goal is to help technology executives cut through the hype and learn to deploy these advanced technologies to build competitive advantage, create new business opportunities and more. AI World 2017 Dates: December 11–13 37. As organizations change and continue to embrace technological advances, data becomes the key factor in how companies can gain a competitive advantage. This conference explores how companies can better embrace data and use it to push forward. Big Data Innovation Summer Las Vegas 2018 Dates: January 24–25 38. Most companies today are built on the back of their domain names. This conference focuses on the explosive growth of new TLDs and the expansion of internet connectivity worldwide. NamesCon Las Vegas 2018 Dates: January 29–31 39. This conference is San Francisco’s largest development conference. It includes mixers, workshops, drink-ups, and events across the city. It covers new technologies including HTML5, Node.js, Data Science, Full-Stack Javascript Development, and more. Developer’s Week San Francisco 2018 Dates: February 3–8 40. This two-day event includes two days of educational presentations, panel sessions, interactive discussions, and networking. It covers topics including data analytics, data science, predictive analytics, machine learning and algorithms, and cloud computing. Big Data & Analytics Innovation Summer Melbourne 2018 Dates: February 7–8 41. This summit provides a platform for industry leaders to deliver case studies, expertise and unique insights into the power of being able to forecast the future with today’s data. Learn how practitioners deploy predictive modeling, and its impact on business. Innovation Summit San Diego 2018 Dates: February 14–15 42. If your company is involved in the mobile landscape, then you’ll find this conference valuable. This conference dives deep into new and emerging mobile technologies and how they’re going to disrupt the mobile landscape. Mobile Beat Las Vegas 2018 Dates: March 12–15 43. This conference brings together the World of Watson and Interconnect to discuss the future of AI, cloud, data, IoT and security. AI is already causing stirs in all sorts of industries, so by the time 2018 rolls around, you’ll want to see what it’s up to, and this event is the way to do that. Think Las Vegas 2018 Dates: March 19–22 Check That Calendar If you want to keep growing as a CTO, check that calendar, clear a few dates with the boss, and purchase those tickets — because you’ve got some conferencing to do! Know of any other conferences for CTOs coming up? Share them with us in the comments below. Originally published at buttercms.com . For more content like this, follow ButterCMS on Twitter and subscribe to our blog .

Top 43 Events for CTOs to Attend in 2017/2018

Welcome to the Startups of the Year Runner ups Interview Series. Congratulations for being one of the top 3000 startups worldwide! The HackerNoon team is thrilled to know more about you! https://hackernoon.com/startups/europe/europe-lombardy-italy What follows is an interview with , CEO and Founder at , where he talks about his experience with React Bricks and how it feels to be one of Hackernoon’s Startups of the Year 2023. Matteo Frana React Bricks Tell us how your startup is changing the world. We address the foremost challenge in content management: the divide between developer-oriented tools, such as headless CMSs, which can be overly complex for content editors, and editor-preferred tools, like visual page builders, which don't meet the technical requirements of developers or the needs of corporate websites. React Bricks bridges this gap by combining the best of both worlds. It offers the best-in-class experience to content editors while also providing a seamless and powerful development experience for React developers. inline visual editing What sets you apart from the competition? Our typically fall into two categories, when attempting to incorporate visual editing into a headless CMS: headless CMSs trying to add a visual feature as an afterthought, and no-code tools trying to eliminate the need for developers. competitors With React Bricks, to ensure the pixel-perfect brand identity is maintained. Simultaneously, for content editors, we provide a unique inline visual editing interface that is user-friendly by design, not just an additional feature. everything starts in (React) code What do you love about your team, and why are you the ones to solve this problem? We've gained a deep understanding of the industry with over 27 years of experience developing website solutions across a broad spectrum of technologies since the early days. Our collaboration with client developers and content creators, coupled with our insights into the growing popularity of React, has led us to identify a gap in the CMS market. This gives us a unique perspective on current customer needs and the skills required to develop the product that precisely meets them. If you weren’t building your startup, what would you be doing? I would likely be building another startup. I would probably be a theoretical physicist if I hadn't chosen the IT sector. At the moment, how do you measure success? What are your core metrics? We focus on customer satisfaction by closely partnering with customers to ensure their website objectives are met. By doing this successfully, revenue happens. We avoid intricate, complex, or vanity metrics, focusing on what truly matters. What goals are you looking forward to accomplishing in 2024? In 2024, we are set to launch a new version of React Bricks that supports . This will help our customers achieve optimal website performance, particularly when using Next.js. React Server Components We will introduce a suite of advanced enterprise features to assist corporations in seamlessly scaling their content management solutions. Which trend(s) are you most excited about in 2024? Share your reasons. AI-assisted creation where AI is a tool in the art-making process, but the decisions about what to create, retain, or discard are made by a human. This approach could democratize some forms of art, especially costly ones like filmmaking. It provides an opportunity for individuals who might not have had the means for self-expression. This potential for inclusivity is what excites me most about generative AI. 2023 had been another crazy year, especially in tech, with layoffs and the Generative AI takeover! Which trend are you most concerned about? Be as brief or as detailed as you like. In the long run, we might lose the brilliant creative sparks from genius creators. Imagine a world where custom movies or music are created instantaneously by AI upon request, such as or Of course, with customized video ads based on our interests, unless we opt for a premium service. “OK, Netflix, create a movie similar to Philadelphia but with a female lead” “Generate a new song in the style of Pink Floyd's album The Wall.” My concern is that we may become too comfortable with art that, while highly personalized, is dull, lacking depth and originality. The availability of content tailored to our immediate preferences and viewpoints could diminish our exposure to the unexpected and thought-provoking art that challenges us and broadens our horizons, even changing our minds. Share your biggest success so far and/or your biggest failure so far. One of our most challenging experiences occurs when CTOs are impressed with our solution, yet their company's board decides against it, favoring less effective alternatives, merely because we are an Italian company or not "large enough" even though we have been in business for more than 25 years with the same company and ownership. On the flip side, our proudest accomplishment lies in our of serving industry leaders such as The Weather Channel, , and La Banque Postale. proven track record Deel.com We would love your feedback on HackerNoon as a tech publication! How has your experience been with us? My experience with HackerNoon has been very positive. The articles are informative and cover a wide range of tech topics, which I find useful and engaging. Any words of wisdom you’d like to share with us? Starting a startup in your forties can be a wise decision. With years of accumulated experience and some savings carefully built up over the years, you're in a much stronger position to take calculated risks more judiciously than in your twenties. In your twenties, while you can take risks with more freedom due to fewer family or work responsibilities, you often have to rely on external funding from venture capitalists, and you lack experience. And in your thirties, you are typically building a family, buying a house… usually not the best time to risk with a startup idea. In your forties, you have both the experience and financial resources to invest. Independence from venture capital gives you full control over decision-making and encourages independent thinking. And since it's your own hard-earned money, you are likely to ensure that the idea you are betting on addresses a real problem in your target market. This combination of personal investment, ability to take risks, and problem-solving desire can enhance the odds of creating a successful and sustainable business. Startups of The Year is HackerNoon’s Flagship community-driven event celebrating startups that survived and thrived in 2023. 30,000 startups across 4200+ cities and six continents participated this year to be crowned the best startup in their city. See the global winners announcement . here

OCTOS GLOBAL SOLUTIONS

octosglobal.com

51-200 employees

Since 2017

COMPANY RANKING

OCTOS GLOBAL SOLUTIONS

EVERGREEN INDEX #7685

Representing this company? Click here to claim and customize this page!

Octos Global Solutions WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

OCTOS GLOBAL SOLUTIONS

octosglobal.com

51-200 employees

Since 2017

COMPANY RANKING

OCTOS GLOBAL SOLUTIONS

EVERGREEN INDEX #7685

RELATED COMPANIESRANK

STORIES ABOUT OCTOS GLOBAL SOLUTIONS

Representing this company? Click here to claim and customize this page!

Octos Global Solutions WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!