alpaca-lora: Experimenting With a Home-Cooked Large Language Model

alpaca-lora: বাড়িতে রান্না করা বড় ভাষার মডেলের সাথে পরীক্ষা করা

alpaca-lora: Experimentieren mit selbstgekochtem großem Sprachmodell

alpaca-lora: experimentando con un modelo de lenguaje grande casero

alpaca-lora : Expérimentation d'un grand modèle de langage fait maison

अल्पाका-लोरा: घर में पकाए गए बड़े भाषा मॉडल के साथ प्रयोग

alpaca-lora: 手作りの大規模言語モデルの実験

alpaca-lora: 집에서 만든 대형 언어 모델 실험

alpaca-lora: experimentando um modelo de linguagem grande feito em casa

alpaca-lora: экспериментируем с домашней моделью большого языка

alpaca-lora: Evde Pişirilmiş Büyük Dil Modeli ile Denemeler

alpaca-lora: Thử nghiệm mô hình ngôn ngữ lớn nấu tại nhà

alpaca-lora：尝试自制的大型语言模型

Artificial intelligence (AI) has revolutionized the way we live, work, and interact with the world around us. From to , AI is quickly becoming an integral part of our daily lives. And it’s going to become more prevalent with each passing day, as the tech will be "as transformative as the Industrial Revolution," if not more so. self-driving cars virtual assistants some believe While previous decades were defined as an (where little AI research, development, or funding occurred), much has changed recently – especially with the release of generative AI tools like and . That has officially thawed, with massive influxes of pouring into both startups and Big Tech giants alike. With all that money and growth, the demand for skilled AI professionals has never been higher. AI winter ChatGPT Midjourney winter chill investments So, whether you're a seasoned professional or just starting out, there's never been a better time to work in the AI revolution. In this blog post, explore the best AI companies to work for in 2023 and the exciting career opportunities they offer. 1. OpenAI is a research organization dedicated to advancing artificial intelligence in a safe and beneficial manner. The organization was founded in 2015 by a group of tech industry leaders, including Elon Musk and Sam Altman. OpenAI aims to create AI systems capable of understanding natural language, learning from experience, and achieving human-like intelligence. OpenAI Recently, OpenAI has been making headlines for its innovative language model, ChatGPT, which can generate human-like responses to text prompts. This breakthrough has sparked excitement among researchers, developers, and businesses who can use ChatGPT to improve customer service, generate content, and automate tasks. It has also set the record for the fastest-growing consumer application in history, with over 100 million monthly active users in just two months. With such monumental growth, it should be no surprise that the company is actively recruiting talented individuals passionate about AI. ‍ Engineering, Operations, Sales, Legal Hiring job positions: ‍ 201-500 Company size: ‍ Hybrid, some flexible hours Work policy & hours: ‍ Full health, dental, & vision benefits Insurance: ‍ 401k program, 4% match Retirement: Unlimited PTO, 18+ company holidays PTO: ‍ $130k - $450k Salary range: ‍ No Equity available: Apply for OpenAI AI jobs → 2. Amazon is a global tech company specializing in e-commerce, cloud computing, digital streaming, and artificial intelligence (AI). A company so big, it practically needs no introduction. Founded in 1994 by Jeff Bezos as an online bookstore, Amazon is today one of the largest retailers and cloud providers (AWS) in the world, and extensively uses machine and deep learning across all its areas. Amazon As a result, both Amazon and AWS are heavily investing in AI services, especially with a new platform called Bedrock which aims to give customers access to language models to rival that of OpenAI and Google. So, Amazon is looking for software engineers, development managers, product managers, and scientists to help expand and build tools across their AI stack. ‍ Engineering, Product, Operations, Research, Administration Hiring job positions: ‍ +1,500,000 Company size: ‍ Onsite, flexible hours Work policy & hours: ‍ Full health, dental, & vision benefits Insurance: ‍ 401k program, 2% match Retirement: Accrued on a per-pay-period basis PTO: ‍ $110k - $350k Salary range: ‍ Yes Equity available: Apply for Amazon AI jobs → 3. Microsoft is a technology giant that has been around since 1975. The company is best known for its Windows operating system, Office suite, and Xbox consoles. In recent years, Microsoft has invested heavily in artificial intelligence (AI) and machine learning to develop next-generation products and services. Microsoft One of Microsoft's significant partnerships in the AI space is with OpenAI, a research organization focused on developing safe AI technologies. Microsoft first invested $1 billion in OpenAI in 2019. However, this investment has since grown to $13 billion, signaling an extended partnership to build new AI models and tools. OpenAI also uses Microsoft's Azure cloud platform to develop and test its AI models. Given such a massive financial stake in developing AI, the company is actively looking to acquire the top AI talent. ‍ Engineering, Product, Design, Operations, Sales, Administration, Legal Hiring job positions: +200,000 Company size: ‍ Hybrid, flexible hours Work policy & hours: ‍ Full health, dental, & vision benefits Insurance: ‍ 401k program, match up to $11,250 per year Retirement: Unlimited PTO, plus all federal holidays observed PTO: ‍ $100k - $350k Salary range: ‍ Yes Equity available: Apply for Microsoft AI jobs → 4. Grammarly is a tech startup that offers an online writing tool to help users improve their writing skills by detecting and correcting grammatical errors, spelling mistakes, and punctuation errors. Its AI-powered assistant is designed to provide reliable suggestions for enhancing the overall quality of the written content. Grammarly is a highly efficient tool that can be used across various platforms, including web browsers, desktop applications, and mobile devices. Grammarly The company has recently grown to 30 million monthly active users, and to accommodate its growing user base and expand its services, Grammarly has been actively seeking new talent in various roles. The company has been making significant efforts to acquire skilled professionals in artificial intelligence, natural language processing, and machine learning. ‍ Engineering, Design, Operations, Marketing, Sales Hiring job positions: ‍ 501-1,000 Company size: ‍ Remote-first hybrid, flexible hours Work policy & hours: ‍ Full health, dental, & vision benefits Insurance: ‍ 401k program Retirement: 20 days of vacation accrual, paid sick days & holidays PTO: ‍ $160k - $300K Salary range: ‍ Yes Equity available: Apply for Grammarly AI jobs → 5. NVIDIA is a world-renowned technology company specializing in graphics processing units (GPUs) and artificial intelligence (AI). The company has been at the forefront of AI research and development for years and has made significant contributions to the field. NVIDIA's GPUs are widely used to train deep learning models, and the company has developed software and hardware solutions to optimize AI workflows. NVIDIA Just this year, NVIDIA founder and CEO Jensen Huang announced several partnerships with Google, Microsoft, and Oracle, among others, to bring new AI, simulation, and collaboration capabilities to every industry. With this massive investment in partnerships, NVIDIA is actively recruiting top AI talent to help scale its AI efforts. ‍ Engineering, Data & Analytics, Research, Sales Hiring job positions: ‍ +25,000 Company size: ‍ Remote or onsite, flexible hours Work policy & hours: ‍ Full health, dental, & vision benefits Insurance: ‍ 401k program, dollar-for-dollar match every pay period (up to $6,000) Retirement: Flexible PTO, all federal holidays observed PTO: ‍ $150k - $300k+ Salary range: ‍ Yes Equity available: Apply for NVIDIA AI jobs → 6. Tessian is a tech startup that provides a cloud email security platform to intelligently protect organizations against advanced threats and data loss on email. Using machine learning and behavioral data science, Tessian aims to detect and prevent threats such as phishing, spear-phishing, and other types of social engineering attacks. They work with businesses of all sizes to protect their employees and sensitive information from cyber threats. Tessian Tessian has raised over $120 million from investors such as March Capital, Sequoia, Accel, and Balderton and is growing rapidly, hiring in dozens of engineering, design, product, marketing, sales, and operations roles. ‍ Engineering, Product, Design, Operations, Marketing, Sales Hiring job positions: ‍ 201-500 Company size: ‍ Remote or onsite, flexible hours Work policy & hours: ‍ Full medical, dental, & vision Insurance: ‍ 401k program, up to 5% match Retirement: Paid holidays & sick days, 25 days annual leave PTO: ‍ $100k - $300k Salary range: ‍ Yes Equity available: Apply for Tessian AI jobs → 7. Alphabet (Google) is a global conglomerate (and parent company of Google) focusing on internet-related services, products, computer software, and hardware. Alphabet has also long been involved in developing artificial intelligence (AI) through its collaboration with DeepMind, a London-based AI research company that Google acquired in 2014. DeepMind's research focuses on developing AI systems that can learn and improve independently, without human intervention. This includes applications in machine learning, natural language processing, and robotics. Alphabet Inc Recently, in the ongoing AI race across tech, Alphabet merged DeepMind with Google Brain to accelerate progress in AI, notably prioritizing the development and release of Bard, a ChatGPT competitor. Alphabet is ramping up its acquisition of top AI talent, hiring for positions in dozens of departments. ‍ Engineering, Product, Design, Operations, Sales, Administration, Legal Hiring jobs positions: ‍ +190,000 Company size: ‍ Onsite, standard full-time hours Work policy & hours: Full health, dental, & vision benefits Insurance: ‍ 401k program, matches 50% up to 3% Retirement: Minimum 20 vacation days per year, unlimited sick days, and all federal holidays observed PTO: ‍ $100k - $300k Salary range: ‍ Yes Equity available: Apply for Alphabet AI jobs → 8. Hive is an AI startup focused on building the next generation of intelligent automation solutions. Specifically, the company offers cloud-based AI solutions for understanding content, providing developers with a portfolio of best-in-class, pre-trained AI models that serve billions of API requests per month. Hive Hive counts some of the world's largest companies as its customers, who use its AI models to help solve their challenges in content moderation, logo detection, OCR, and more. The company has raised over $120 million in funding from investors such as General Catalyst, 8VC, Tomales Bay Capital, and Glynn Capital, and is hiring in dozens of roles to support its ongoing growth. ‍ Engineering, Product, Design, Operations, Sales, Legal Hiring job positions: ‍ 51-200 Company size: ‍ Onsite, standard full-time hours Work policy & hours: ‍ Full health, dental, & vision benefits Insurance: ‍ Unknown Retirement: Paid vacation PTO: ‍ $90k - $300k Salary range: ‍ Yes Equity available: Apply for Hive AI jobs → 9. IBM is a global tech company that provides hardware, software, and consulting services. In recent years, IBM has focused on artificial intelligence (AI) and has made significant strides in the field. Jeopardy! fans may already be familiar, as IBM's Watson, a natural language question-answering system, competed and beat two of the game show's greatest champions in 2011. IBM However, IBM offers many other business-grade AI products and analytics solutions designed to streamline the implementation of AI, ensure a solid data infrastructure, and prioritize positive results and ethical practices. Researchers at the company are developing the next generation of AI software and hardware advances to enterprise AI, and are actively recruiting AI talent in various roles to help them reach their goals. ‍ Engineering, Product, Design, Operations, Data & Analytics, Research, Sales Hiring job positions: ‍ +200,000 Company size: ‍ Remote or onsite, flexible hours Work policy & hours: Full health, dental, & vision benefits Insurance: ‍ 401k program, 5% match Retirement: Accrued on a per pay-period basis PTO: ‍ $100k - $250k Salary range: ‍ Yes Equity available: Apply for IBM AI jobs → 10. Lambda is a cloud provider of GPU hardware access for deep learning that is used by dozens of Fortune 500 companies and the leading AI and machine learning researchers. Lambda's hardware and software are optimized for deep learning (one of the most computationally intensive ML techniques), such that the company bills itself as the only public cloud designed for training large language and foundation models. Lambda Lambda is still a fairly early-stage startup that has raised $44 million in a Series B round of funding. However, the company already counts engineers and researchers at the cutting edge of the AI field as customers, including companies like Intel, Microsoft, Amazon Research, Kaiser Permanente, MIT, Stanford, Harvard, Caltech, and the Department of Defense. So, Lambda is actively hiring for dozens of different roles to help support its growth. ‍ Engineering, Product, Marketing, Sales, Manufacturing Hiring job positions: ‍ 51-200 Company size: ‍ Remote or onsite, flexible hours Work policy & hours: ‍ Full medical, dental, & vision Insurance: ‍ 401k program Retirement: ‍ Flexible PTO, 12 paid holidays, 5 paid sick days PTO: ‍ $100k - $250k Salary range: ‍ Yes Equity available: Apply for Lambda AI jobs → 11. Reclaim.ai is an AI-powered startup smart calendar app that optimizes and defends the schedules of busy pros and teams. The heart of the company's mission is that priorities — not random meetings — should guide your workweek, and your time should be oriented around the stuff that really matters. Reclaim automatically blocks time for your tasks, habits, meetings, and at the best time in your schedule to save up to 40% of your workweek. Reclaim.ai breaks Reclaim.ai is a rapidly growing startup backed by some of the top venture firms in the US, including Operator Partners, Index Ventures, Gradient Ventures, and Flying Fish. The AI company is looking for experienced Senior Java Engineers to help develop the smartest, fastest, conversational scheduling experience ever – along with developing backend services and APIs, evolving Reclaim's persistence layer, integrating into various collaboration platforms, and designing and deploying their cloud infrastructure. ‍ Engineers Hiring job positions: ‍ 11-50 Company size: ‍ Remote, flexible hours Work policy & hours: ‍ Full health, dental, & vision benefits Insurance: ‍ 401k program Retirement: ‍ Unlimited PTO, plus all federal holidays observed PTO: ‍ $140k – $220k Salary range: ‍ Yes Equity available: Apply for Reclaim AI jobs → 12. Dataiku is a tech unicorn that provides an enterprise AI and machine learning platform for organizations to build and deploy their predictive models. Users are able to collaborate on data projects through the platform, and easily integrate their existing systems so everyone can leverage data and AI everywhere they work. Dataiku's product suite includes data preparation, data visualization, DataOps, AI/ML, and analytics tools. Dataiku Dataiku was founded in Paris in 2013 and reached the elusive unicorn status (a private company valued at more than $1 billion) in 2019. The company is backed by many heavyweight investors and partners, including CapitalG, Tiger Global, and Serena, and has raised over $840 million in funding. So, Dataiku is rapidly hiring for dozens of positions across many departments. ‍ Engineering, Product, Sales, Marketing, Operations Hiring job positions: ‍ 1,001-5,000 Company size: ‍ Remote or onsite, flexible hours Work policy & hours: ‍ Full medical, dental, & vision Insurance: ‍ 401k program Retirement: 11 paid holidays, 20 vacation days, PTO: ‍ $80k - $200k Salary range: ‍ Yes Equity available: Apply for Dataiku AI jobs → 13. Accenture is a leading global professional services company that provides strategy, consulting, digital, technology, and operations services. Just this week, the company announced a $3 billion investment over the span of three years in its Data & AI practice to help its clients rapidly and responsibly advance and use AI to support their growth, efficiency, and resilience. Accenture But this investment isn’t the first time Accenture has dipped its toes in AI waters. The company holds over 1,450 AI patents and pending applications worldwide, and a portfolio of client solutions that spans a wide range of industries. And to support their new and ongoing efforts to develop and provide AI services, Accenture is currently hiring for various roles. ‍ Engineering, Design, Strategy, Operations, Marketing, Sales, Administration, Legal Hiring jobs positions: ‍ +650,000 Company size: ‍ Remote or onsite, flexible hours Work policy & hours: ‍ Full health, dental, & vision benefits Insurance: ‍ 401k program, $1 for $1 match up to 6% Retirement: 17 - 27 days of PTO, 8 standard holidays, and 2 culture days PTO: ‍ $40K - $200k Salary range: ‍ Yes Equity available: Apply for Accenture AI jobs → 14. Sanctuary is a tech startup developing the world's first human-like intelligence in general-purpose robots designed to help people work more safely, efficiently, and sustainably. Their robots aim to make it possible to do a job from anywhere (without being there in person), help address labor shortages worldwide, and assist those who might be less capable of physical work. Sanctuary Being a startup focused on building learning machines, Sanctuary is actively looking for the world's best AI and ML research engineers, data scientists, software engineers, simulation experts, mechanical engineers, electronics and electrical engineers, and robotics and control engineers. ‍ Engineering, Operations, Marketing Hiring job positions: ‍ 51-200 Company size: ‍ Remote or onsite, flexible hours Work policy & hours: ‍ Full health, dental, & vision benefits Insurance: ‍ Unknown Retirement: Paid vacation, sick days, & holidays PTO: ‍ $80k - $185k Salary range: ‍ Yes Equity available: Apply for Sanctuary AI jobs → 15. Weights & Biases (W&B) is a tech startup that provides a developer-first MLOps platform that offers performance visualization tools for machine learning. As such, W&B is pretty similar to a GitHub for ML models. Their visualization tools can help companies debug, compare, and reproduce their machine learning models, whether it be architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions. Weights & Biases W&B's product is widely used by AI researchers at companies like OpenAI, Lyft, Github, and MILA and has raised over $200 million in funding. So, the company is actively hiring in a number of roles to grow the product and scale. ‍ Engineering, Product, Marketing, Sales, Legal Hiring job positions: ‍ 51-200 Company size: ‍ Remote, standard full-time hours Work policy & hours: ‍ 100% Medical, Dental, & Vision Insurance: ‍ 401k program Retirement: Unlimited PTO PTO: ‍ $100k - $160k Salary range: ‍ Yes Equity available: Apply for Weights & Biases AI jobs → Shape AI's future at top companies hiring now 🤖 AI is transforming the job market much as its revolutionizing our society. From cutting-edge tech startups to established industry leaders, these companies offer exciting roles for those looking to work in the field, and there's no shortage of opportunities to learn and grow with these top AI companies. With their innovative technologies and forward-thinking cultures, they will undoubtedly shape AI's future and beyond. Did we miss any AI companies that should be on this list? What are the most innovative and exciting companies in the space? Tweet us to let us know! @reclaimai Also published . here

Top 15 AI Companies Hiring in 2023 – By Salary Range

Las 15 principales empresas de inteligencia artificial que contratan en 2023, por rango salarial

Top 15 des entreprises d'IA qui embauchent en 2023 - Par échelle de salaire

2023 में नियुक्ति करने वाली शीर्ष 15 एआई कंपनियां - वेतन सीमा के अनुसार

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As 15 principais empresas de IA contratando em 2023 – por faixa salarial

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Today is international day. There are many great initiatives going on to help raise visibility for this important day, including #StartWithEight, an initiative to encourage male VCs to meet with more female , which we wrote about . women’s entrepreneurs here In celebration of international women’s day, I wanted to highlight a few female VCs in their 20s and 30s who entrepreneurs and other VCs should know — but may not because they are earlier in their careers — and should be looping in to their deal flow. I know and admire each of these VCs and think they are terrific investors. If any entrepreneur wants an introduction to any of them, let me know. Apologies if I missed anyone who I’m friends with (age cutoff, notwithstanding) — in fact, please let me know if I’ve missed you and I’ll make sure to add you to the list! Boston Payal Agrawal Divakarin, .406 Ventures Natalie Bartlett, General Catalyst Eveline Buchatskiy, OneWay Ventures Monique Guimond, The Engine Paulina Hill, Polaris Galit Krifcher, Battery Lily Lyman, Underscore Anna Palmer, XFactor Sophia Popova, Summit Elizabeth de Saint-Aignan, Jump Capital Parul Singh, Founder Collective LA Britt Danneman, Alpha Edison Effie Epstein, Sound Ventures Dani Haber, 3L Capital Leah Volger, Bonfire NYC Seema Amble, Goldman Sachs Growth Hayley Barna, First Round Lisa Cuesta, NextGen Nisha Dua, BBG Merrit Hummer, Goldman Sachs Growth Nimi Katragadda, Box Melody Koh, NextView Divya Nettimi, Viking Growth Aubrie Pagano, XFactor Nicole Sanchez, XFactor Caitlin Strandberg, FirstMark Ellie Wheeler, Greycroft Liz Whitman, XFactor SF/SV Medha Agarwal, Redpoint Erica Brescia, XFactor Ooshma Garg, XFactor Yael Gilboa, DBL Partners Kanu Gulati, Khosla Christine Kang, General Atlantic Partners Anna Khan, Bessemer Jessica Mah, XFactor Lisa Marrone, August Capital Maya Noeth, TCV Yasmin Razavi, Spark Growth Kimmy Scotti, 8VC Kathleet Utecht, Core Innovation These are just a few off the top of my head. Feel free to add your favorites in the comments!

Female VCs You Should Know

The quest for immortality - Chapter 0 The notion of whether this is the most transformative period in human history is an argument for futurists and historians. Frankly, it’s not a very interesting argument; we’re alive now so it’s grandiose to believe this is the case. What I find most interesting, and I may be alone here, is how businesses cope with this change. As we enter a new techno-economic paradigm there will be greater Creative Destruction (“the industrial mutation that incessantly revolutionises the economic structure from within, incessantly destroying the old one, incessantly creating a new one”). This is the ‘essential fact of capitalism’ according to Schumpeter. As Alfred Chandler noted, entrepreneurship plays a critical role in the process of growth and . However, managers play an equally important role in amplifying those . development innovations ‘The quest for immortality’ is my attempt to apply some heuristics, some rules of thumbs, for creating sustainably successful businesses. This will be a series of posts exploring a range of topics and, ultimately, trying to understand if it is possible to survive the process of Creative Destruction. Collectively, the four stages identified by Carlota Perez (irruption, frenzy, synergy and maturity) result in Creative Destruction. Research by Foster and Kaplan found that, on average, an S&P 500 company is now being replaced about once every two weeks. 89% of companies listed on the S&P 500 in 1955 no longer exist, and the average lifespan of S&P 500 companies has fallen from 61 years in 1955 to 17 years in 2015. Firms are not just disappearing but struggling to compete. Between 2000 and 2009, the revenue of over half of publicly traded firms with a market capitalisation of greater than $1bn shrank by 10% or more in one of those years. These numbers paint the picture that new competitors are killing off incumbents, which then go the way of Blockbuster or Kodak. However, whilst there is an element of truth to this, it is does not truly reflect what is happening. In the last twenty years, the number of publicly traded companies in the US has fallen 50%, from 7,322 in 1996 to 3,671 in 2016. The average age of a listed company has risen 50%, from 12 to 18 years. The average market cap has risen over 105%. There is a growing case of ‘winner takes all’. According to Bain & Co, just one or two players in each market earned (on average) 80% of the economic profit. It is not that new insurgents are disrupting the market but the growth of incumbents that has had the biggest impact to date. Despite the hype of disruption new challengers are struggling to shift incumbents. Five-year survival rates for newly listed firms have declined by 30% since the 1960s, according to research from the Tuck School of Business at Dartmouth College. The biggest winners in the last twenty years are incumbents that have seen off competition and created greater barriers to entry. In the words of Warren Buffet, they have established economic castles protected by unbreachable moats. Having to compete with these behemoths is one reason why companies are staying private longer. The median time to IPO has risen from 4 years in 1999 to 11 in 2014, according to Bain & Co. When Amazon went public in 1997, it was worth $300m, twenty years on it is worth over $450bn. Is it feasible a company of that size could grow into a giant in the public markets today? Drawing on Andrew Lo’s theory of adaptive markets, companies are living organisms, competing to survive. Organisations have adapted to their environment. During the management revolution and the early days of the internet, scale and efficiency provided many companies with a competitive advantage. Many of these firms exist in highly competitive, high-velocity oligopolies. In these environments, the ability to change continuously is a core capability of successful firms (perhaps elephants can dance after all). However, there is an argument that actually little has changed in the last twenty years, relative to what is expected in the coming decades (after all, we were promised flying cars and got 140 characters). This relative stability has allowed companies to create massive empires and explains why many truly disruptive start-ups are vertically integrated (think Tesla or Monzo). As the research from Credit Suisse highlighted, companies are larger and older today. Though this has led to higher profitability and greater market caps, it arguably also makes change harder. The winners of the past have shown a great capacity to adapt. However, many believe that the rate and scale of change will make it increasingly difficult to keep pace. As Chris Zook and James Allen state in it is the inherent paradox of business. ‘Growth creates complexity. Complexity is the silent killer of growth’. The Founder’s Mentality, What does this concentration mean for the process of Creative Destruction and the visible hand? For entrepreneurs and managers? Digital — A new dawn According to 8VC, the ramifications of this new techno-economic paradigm have yet to be realised: ‘The vast majority of the economy has yet to be transformed by the IT revolution — we are nowhere near the exhausted, fully-saturated markets of Perez’s ‘maturity’ phase’. MIT Sloan defines digital disruption as ‘changes in the competitive environment, resulting from the use of digital technologies by new market entrants or established competitors in ways that undermine the viability of your product/service portfolio or go-to-market approach.’ In the age of digital disruption it is now possible for technology to lead to a techno-institutional leap, overcoming structural and economic obstacles. Technology changes much faster than formal governing institutions, and therefore, it can help entrepreneurs to start new businesses. The question remains, can incumbents leverage new technology and undertake true digital transformation, or to what extent are they restricted by complexity, legacy thinking and path dependency. The graph below shows the media attention to ‘Disruption’ versus ‘Digital Transformation’. I like to think this represents a proactive approach by organisations, reacting to the digital revolution/Industry 4.0/The Second Machine Age — call it what you will. Doing nothing is the most dangerous approach to the future success of the organisation. Research from Citigroup found that over the past two decades, technological disruption affected approximately 10% of global public companies by market capitalisation. In the coming decade, up to 47% of global companies could face pressure to adapt to some form of technological disruption. There are two principal ways firms are responding: relying on M&A and developing a multitude of strategies. The growth of M&A is more dramatic in recent years when excluding non-tech buyers. Research from Vermeulen and Barkema found that acquisitions can revitalise an organisation and decrease inertia, enhancing the viability of its later ventures and ultimately foster long-term survival. Acquisitions can be another way for organisations to administer shocks to their systems, making them more adaptable in the long run. Wal-Mart will certainly hope this is the case with its latest acquisition, Jet.com for $3.3b, following the previous spin out of its own e-commerce business in 2000 and then acquiring Kosmix in 2011 for $300m. The sheer number of acquisitions also highlights the need for organisations to develop new capabilities as they are no longer capable of exploiting existing resources. The combination of a range of technology advancements is having a compounding effect on the impact of change. Companies have responded by taking a fragmented approach. Everything needs a strategy, whether it’s a cloud strategy, a mobile strategy, or a data and analytics strategy. Even a digital strategy that looks across a range of technologies is misguided. A company should have one strategy, which answers the following questions: · How will we create value? · How will we deliver value? · How will we capture value? New digital technologies are fundamentally changing the answers to these questions. I believe there are three interdependent elements of digital transformation, each of which I will explore in the following post (Chapter 1). · Reimagining products/services and customer engagement · Developing a new operational backbone · Lowering the cost of change The rules of the game have changed. Digital technologies are creating completely new value propositions, invalidating many of the trade-offs that companies are built on and changing the economics of an organisation. Robert Smith, founder of Vista Equity Partners; “We are truly in the early stages of the fourth industrial revolution. There is a digitisation of every single industry on the planet, and ultimately that will lead to the digitisation of every single company in one way, shape, form or another.” However, as stated by Freek Vermeulen of LBS, the change will not be uniform across all industries. Chapter 1 will explore the impact of ‘digital disruption’ and the three elements of digital transformation. Numbers 1. Foster and Kaplan, , 2015 https://www.innosight.com/wp-content/uploads/2016/08/creative-destruction-whips-through-corporate-america_final2015.pdf 2. Credit Suisse, , 2017 https://research-doc.credit-suisse.com/docView?language=ENG&format=PDF&sourceid=em&document_id=1072753661&serialid=h%2B%2FwLdU%2FTIaitAx1rnamfYsPRAuTFRGdTSF4HZIvTkA%3D&mkt_tok=eyJpIjoiT1RZMk5HWTNZV0l3T1dGbCIsInQiOiJONWhqeWtHU0pnXC9oYTYxY2lvazZHTitQa1daSFBEQ3NHU1Q5dmxvWGdmMUFZVTBoRHdETmEycWdIYlkrckNQeUxKaG1ybDExWkdqUmlMYmUyKzVjXC9HcXlSUVZlR0srVThucFA5YlhhNEltMVZzVUR6azhwckszSG5nWjFTYUEwIn0%3D 3. Bain and Company, , 2017 http://www.bain.com/publications/articles/firm-of-the-future.aspx 4. Citigroup, , 2017 http://uk.businessinsider.com/citigroup-report-on-disruptive-innovation-2017-1 5. KPCB, , 2016 http://www.kpcb.com/internet-trends

The Land of Giants

The role of the idea person in marketing, advertising and publishing has never been more challenging. I’m keen on the idea of Idea People; and especially the Business of Ideas. I believe that idea discovery, idea articulation, idea presentation, idea optimization and idea distribution are all scientific and artful, in equal measures. As Idea People, we are also agitators. I’ll paraphrase Robert Grudin, who describes us in his book , “Many [Idea People] initially are seen as troublemakers simply because their vigorous and uncompromising analysis exposes problems that previously had been ignored.” Grudin warns that, “Creativity is dangerous. We cannot open ourselves to new insight without endangering the security of prior assumptions. Creative achievement”—and that’s what I believe all of us Idea People are all about — “Creative achievement is… an adventure. It’s pleasure is not the comfort of the safe harbor, but the thrill of the reaching sail.” The Grace of Great Things So onward we sail. Now, here’s the thing: We’ve been here before. Every innovation, ever, offers threats and opportunities to job roles, to the kind of work we do, to industries, to culture. And in each case, innovations (like artificial intelligence) offer a sense of what the author Neil Postman might refer to as “magic.” But I prefer Arthur C. Clarke’s Third Law definition. “Any sufficiently advanced technology is indistinguishable from magic.” If we work backwards from today, consider… First, the magic of Desktop publishing. — Which threatened the idea of how we print, who prints, when and where we print, the notion of control of image and design — Simultaneously, desktop publishing created more content by specific authors and publishers for more specific audiences. The magic of desktop publishing created new ways for more people to be idea people. Then consider the magic of Photography. — Which threatened the idea of visual expression and the recording of images and likenesses as defined by the hand and eye through painting and drawing — And yet Photography created a new way of seeing, a new Art. Photography expanded our understanding of the world around us and helped deliver a boom in publishing . Going further back, consider the magic of Printing. — Which threatened oral traditions and the power of those few who could speak and tell stories — Meanwhile, printing created a need for literacy, a need for teachers, the expansion of nations and belief systems. So we’ve been here before, over the millennia. New innovations arrive and the residents panic. And sometimes rightly so. Let’s begin by talking about the idea of Automation, of robots and scale; of simple, repetitive work once done by humans then handled by machines and now handled by software. The stats can look grim. “83% of US jobs paying less than $20 per hour will be subject to automation or replacement. While up to 47% of all US jobs are in danger of being made irrelevant due to technological advancements, with most job losses due to occur amongst the undereducated.” So says a January 2017 report authored by The Obama White House titled, “Preparing for the Future of Artificial Intelligence.” [ ] Source via Scott Abel @ The Content Wrangler In a “Robot Proof Jobs” report from the consultants at , we hear, “Across all occupations in the US economy, one-third of the time spent in the workplace involves collecting and processing data. Both activities (collecting and processing) have a technical potential for automation exceeding 60 percent.” The report continues, “And it’s not just entry-level workers or low-wage clerks who collect and process data; people whose annual incomes exceed $200,000 spend some 31 percent of their time doing those things, as well.” McKinsey Bringing things closer to home, James Somers that, “Newspapers and magazines used to have a rather coarse model of their audience. It used to be that they couldn’t be sure how many people read each of their articles; they couldn’t see on a dashboard how much social traction one piece got as against the others. They were more free to experiment, because it was never clear what kind of article was likely to fail. This could, of course, lead to deeply indulgent work that no one would read; but it could also lead to unexpected magic.” writes recently in The Atlantic ex-ante There’s the crux of it. Can automation help scale our labors in the continuous search for unexpected magic? As Idea People, we ought to look at Automation for its ability to serve our readers, to enable the audience instead of to deceive them. So, yes, please, Automate processes that make reading and enjoying your product easier. Automate the means for your audience to engage, on their terms, versus yours. Just don’t try to automate unexpected magic. Not when you could have an artificial intelligence create it for you. Right? It’s abundantly clear that “Artificial Intelligence” is the buzzword du jour. And not without merit. Stanford organizational sociologist, , , “We humans are largely only still involved in the process because we’re still the cheapest option for whatever task we’re doing. Cheaper because the technology is currently too expensive or non-existent, and cheaper because wages can always be lowered. As technology advances, however, humans are increasingly less effective and more expensive than good machines. This is true not just for those working at the ground floor, but also for the managers above them.” R. David Dixon Jr. writes Wait, it gets better! Dixon , “As artificial intelligence and machine learning develops, particularly in their ability to understand and contribute in natural human conversation, humans will reach the end of their usefulness in an increasing number of industries systems entirely.” continues How’s everyone feeling? Who’s excited to return to work tomorrow? We’re already seeing this story evolve within the financial services industry. Paraphrasing from in March of this year… “The investment firm BlackRock laid out an ambitious plan to consolidate 11% of its actively managed mutual funds ($30 billion in assets) with peers that rely more on algorithms and models to pick stocks. As part of the restructuring, seven of BlackRock’s 53 stock pickers are expected to step down from their funds. At least 36 employees connected to the funds are leaving the firm.” The New York Times The researchers at Forrester posit that today, 38% of enterprises are already using artificial intelligence (AI), growing to 62% by 2018. Forrester is predicting a 300% increase in AI investments in 2017 compared to 2016 and IDC believes AI will be a $47 billion market by 2020. [ ] Source Oh, and some of the Idea People at Coca Cola have they want to use AI to facilitate making advertising. announced Well, let’s not cower under our afghans just yet. At this point, it’s worth asking the question, what, exactly, is Artificial Intelligence? Or as Neil Postman reminded us back in 1985, “…in every we create, an idea is embedded that goes beyond the function of the thing itself.” So, what’s the idea embedded behind Artificial Intelligence? tool The concept was first coined by Stanford professor in the 1950s. And we know that intelligence, artificial or not, is rooted — as , “in the tsunami of data generated by digitized systems, and the availability of relatively inexpensive and fast cloud computing.” John McCarthy editor Kate Kaye writes AdAge So, AI, in short is predicated upon Data. And lots of it. Data easily connected, easily parsed, and inexpensively processed — to generate what looks like and smells like and wiggles and wobbles like—thinking. The Defense Advanced Research Projects Agency’s Information Innovation Office has weighed in , and suggested we distinguish between three different waves of AI. (A big hat tip to Roey Tzezana at Futurism.com for .) via YouTube summarizing DARPA’s lengthy video Summarizing Tzezana’s summary: “First Wave artificial intelligence systems are capable of implementing simple logical rules for well-defined problems, but are incapable of learning, and have a hard time dealing with uncertainty.” “With first wave AI, parameters for each type of situation are identified in advance by human experts. As a result, first wave systems find it difficult to tackle new kinds of situations. They also have a hard time abstracting — taking knowledge and insights derived from certain situations, and applying them to new problems.” In other words, first wave AI only knows what it knows. Take voice activation. As examples of first wave artificial intelligence, Alexa or Google Home can only give you answers they have access to, for questions they comprehend. Summarizing again: In Second Wave AI systems… Tzezana “Engineers and programmers don’t bother with teaching precise and exact rules for the systems to follow. Instead, they develop statistical models for certain types of problems, and then ‘train’ these models on many various samples to make them more precise and efficient.” For example, consider how we’re training AIs to recognize images of cats or faces, or the recent advancements in both accuracy and speed of Google Translate. These second wave AIs are using complex models to compare and hypothesize the accuracy of a response. It’s closer to what you and I do when thinking, but it’s not yet human thinking. Finally, summarizes, Third Wave artificial intelligence will go beyond leveraging models we humans create, to “discover by themselves the logical rules which shape their decision-making process.” Sounds almost human, doesn’t it? But let’s be clear that third wave AI is — at least according to DARPA — decades away from reality. Tzezana But why? The answer is Data. As Joe Lonsdale, a co-founder of Palantir and general partner at investment firm 8VC, , “Before artificial intelligence can tackle some of the harder problems — it will take years if not decades to [figure out how to] structure the data these systems will ingest.” noted recently Ah, data. The soil upon which intelligence takes root. Currently our data is messy, dissimilar, inconsistent. Julie Fleischer at Neustar, , “a swamp: an opaque, poorly understood mess.” Which is why Lonsdale and others , “AI is decades away from matching human creativity.” calls it claim If the data is a mess, so too is the intelligence. Despite Move 37. It’s true , the world’s best Go player in Match 2 was unexpected. But, we haven’t seen evidence Google’s artificial intelligence understands its own achievement. Yes, the artificial intelligence won, but did it even know it won — or what winning means? As technology pundit Shelly Palmer , “AlphaGo is dangerous to 9-dan [level] Go masters, but harmless to people who optimize media purchases.” AlphaGo’s historic win against Lee Sedol puts it By way of another example, take Minnesota’s own , an artificial intelligence focused on services from the team at Equals 3 Media. Lucy is powered by IBM’s Watson. Lucy’s intelligence can certainly help you get closer, help you focus, help you distill insights to fuel an idea. But Lucy isn’t going to suggest you . Or suggest you put on your magazine cover. Lucy marketing Think Small Andy Warhol in a soup can It still takes the brainpower of Idea People to connect the dots. And it also takes thoughtful UX and UI to benefit from artificial intelligence. It takes amazing Design. Remember, artificial intelligence can’t yet organize and design itself. How we humans experience AI — how we interact with it, how we query, how results or actions are delivered, how confusion is resolved — oftentimes matters much more than the intelligence itself. But the clock is ticking. Seth Godin , “The question each of us has to ask is simple (but difficult): What can I become quite good at that’s really difficult for a computer to do one day soon? How can I become so resilient, so human and such a linchpin that shifts in technology won’t be able to catch up?” says Indeed, how? It’s not clear yet whether we are headed down Orwell’s dark or Huxley’s bright, yet dark path. Because the artificial has not yet learned to be curious the way Idea People like you and me are curious. So I believe the one word answer to Godin’s question, and to the threat of both automation and artificial intelligence is Curiosity. Curiosity demands we seek a further, less obvious, less assured horizon. As Grudin puts it in , “One must cultivate a leaning for the problematic, a chronic attraction to things that do not totally fit, agree or make sense. …To think creatively is to walk at the edge of chaos. In thinking the original, we risk thinking the ridiculous.” The Grace of Great Things Now, I don’t believe Curiosity is ridiculous. Perhaps Niccolò Machiavelli put it best… “And one ought to consider that there is nothing more difficult to pull off, more chancy to succeed in, or more dangerous to manage, than the introduction of a new order of things.” Now, I’m not saying Curiosity gets us out of harm’s way. Far from it. This new order of things — a world increasingly run via Automation and AI — is unavoidable. And it is driven by sharp, extremely curious minds. What matters most now is our reaction to these developments. Don’t throw up your hands. Don’t fold. Instead, be even more curious. Can our thinking, our ideas outpace technologies which might appear to threaten our existence? And the thing I’m most curious about is how Idea People like you can enhance our publications, our content, our engagement through automation and/or artificial intelligence. As VC Joe Lonsdale , “There’s just a huge gap between how the biggest industries in America currently run, and how they will run with the best IT and with the best computer science.” So I’m curious — what if you editors, you publishers, writers and designers thought of yourselves as technologists? How might your product evolve, what new products would emerge — from curious Idea People seeking to apply the benefits of AI to the sustained, periodic shipment of words, images and motion to subscribers? put it Thomas Hayes Davenport and Julia Kirby, authors of put it this way, “Instead of viewing these machines as competitive interlopers, we see them as partners and collaborators in creative problem solving.” Only Humans Need Apply We should explore. We should embrace and prototype. What kind of two-week sprint will your team run, starting tomorrow, to understand and leverage artificial intelligence or automation inside your organization? What new experience of your publication is waiting to be revealed as a result? Jonas Prising, the CEO of Manpowergroup — the multinational human resource consulting firm, , “In an environment where new skills emerge as fast as others become extinct, employability is less about what you already know and more about your capacity to learn.” says So thank you for this opportunity to talk today. I must admit I am not a scientist. I am not a software developer. I can’t spool up an artificial intelligence on Amazon Web Services. But I can ask questions and I can learn. In learning about AI and automation I’ve found I am not afraid of the future of Idea People. I’m bullish on our abilities to derive opportunity from the evolution of technology. I believe the long term, passionate, purposeful thinkers in this room will discover unique, robust and profitable ways to benefit from automation and artificial intelligence. If we remain curious. I’ll leave you with a last, favorite quote, from Boston Symphony conductor Ben Zander and his wife Rosamund, from their book, . The Art of Possibility “Grace comes from owning the risks we take in a world by and large immune to our control.” Thank you very much.

How idea people thrive in an age of artificial intelligence and automation

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Decentralized applications are much safer since users’ data are stored in decentralized nodes, not in a centralized repository. Besides that, users can act much more confident while using and spending money on applications because of these dApps are using the smart contracts which the blockchain has. In brief, dApps stand out as platforms that are far superior to traditional apps. Decentralized applications have become increasingly popular and continue to grow each year. There are thousands of different dApps created so it’s really not a surprise that you might have missed some really good ones. 1. EarnBet EarnBet is a cryptocurrency casino built on the WAX Blockchain and it’s fully decentralized and licensed under the Curaçao license. With an awesome and bright interface, Earnbet is slowly conquering the crypto-gambling scene offering 6 different classic and not so classic casino games like Dice, Hi-Lo, Baccarat, Crash, BlackJack and a Jackpot. Earnbet supports a wide variety of cryptocurrencies like Bitcoin, EOS, BCH, XRP and more and it’s available in 3 different languages. There are a ton of unique features offered by Earnbet which really differentiate the casino from other similar decentralized applications. One of the most popular features is the ability to earn dividends by holding Earnbet’s own token, the BET token. Players can easily earn BET tokens by wagering on casino games and will benefit in the form of dividends paid in a wide range of cryptocurrencies like BTC, ETH, BCH, LTC, WAX and EOS. Earnbet has already rewarded players with more than $4 million in dividends, however, Earnbet has specifically designed BET tokens to be deflationary by burning them in batches. Casino Games As stated above, Earnbet offers a nice variety of casino games and all of them are 100% provably fair which means that players can easily verify if their bets are fair at any moment. When it comes to the house edge, all Earnbet games range between 0.5% and a 1.5% house edge. Blackjack, with a 0.5% house edge, is the newest addition by Earnbet, although currently in beta testing, players can play it and get rewards or even win the jackpot. All Earnbet casino games have a really clean aesthetic and extremely user-friendly interface that takes seconds to understand. Rewards Earnbet doesn’t name itself ‘earn’ for no reason. Players have a ton fo ways to earn cryptocurrencies thanks to Earnbet. Although dividends from holding BET tokens are quite lucrative, there are other ways players can earn rewards. Just recently, Earnbet held a $1 million prize pool where everyone was able to participate. Earnbet also offers an amazing affiliate system paying 0.25% of each bet that the referral makes, forever. Earnbet also holds an on-going Leaderboard betting competition where the player with the biggest wagering amount wins and it’s rewarded with Bitcoin or BET tokens. Additionally, the Earnbet jackpot is always available after paying a fee of 2000 Satoshis to get the chance to win the huge jackpot. Takeaway Although Earnbet is quite popular, it seems that not many people are talking about it. The BET token has been listed on and other exchanges and continues to provide players with profitable dividends regularly. Binance DEX With a clean and beginner-friendly interface, good variety of casino games, many supported cryptocurrencies and languages, Earnbet is slowly becoming the greatest decentralized cryptocurrency casino in the WAX ecosystem. 2. Kyber network Kyber Network is a protocol that aggregates liquidity from different reserves to exchanges, powering instant and secure token exchanges in dApps. As centralized exchanges are increasingly targets of attacks and hacks, cryptocurrency users are looking for decentralized exchanges to use. Unfortunately, most decentralized exchanges lack the liquidity that centralized exchanges are currently able to offer. That’s when Kyber Network comes into play, thanks to different reserves from market makers, token projects, liquidity pools and token holders, Kyber is able to provide exchanges with enough liquidity to operate like their counterparts. The KNC ERC-20 token was created for reserve managers to operate on the network. If you don’t own KNC, you cannot participate. Currently, you can list your own token on Kyber by filling a simple form and you will be granted access to increased exposure and usage of your token, the ability to earn from the spread and token price discovery. 3. Emanate Emanate is a music platform built on EOS.IO. Unlike other competitors like Spotify, Apple Music, it offers a much more fair, transparent, and secure environment for both artists and users. Emanate currently has a partnership with Vampr that will bring 500,000 artists into their ecosystem. Emanate has a market entry strategy that will get electronic, hip hop, and indie influencers to upload exclusive tracks and projects. Thanks to Emanate, artists on the platform will be able to sell their intellectual rights using with smart-contracts. In this way, the middleman will disappear, and a direct relationship will be established between the artists and the audience. Besides, money acquired and earned through Emanate and will allow divisions of copyrights to go directly to collaborators with zero latency. The price for each second is the same for all artists at present. This creates a flat, fair, and consistent network. Besides, it will ensure that money, and copyright divisions acquired and earned through Emanate go directly to collaborators with zero latency.

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