1 day 8 hours ago
Setting the Stage If you have read some of my previous posts, you may know I am very bullish on data-driven funds. The rationale for my optimism is that I fundamentally believe that machine learning can bridge the asymmetric information gap between founders and investors, making both of their lives better and easier. As part of my work and effort to try to advance the field a bit, I have been doing research on how AI has already been used in VC, but I also wanted to play with data, and the following…

2 weeks 4 days ago
This past month I attended the AI for Finance show in New York where I was the host for a one-hour “tech talk” on the subject of AutoML in the world of financial services. With over 150 people in attendance, the audience was able to provide some pointed input on the topic of AI in Financial Services, and especially around the need for AutoML solutions in the space. The results were both surprising and exciting. A Diverse Audience Let's start with who was in attendance. While this may not have been a vast…

4 months 2 weeks ago
By David Schatsky and Rameeta Chauhan Machine learning is a powerful and versatile technology, but a number of factors are restraining adoption in both the private sector and government. Five vectors of progress in machine learning can change that.  Artificial intelligence (AI) holds tremendous potential for governments, especially machine learning technology, which can help discover patterns and anomalies and make predictions. There are five vectors of progress that can make it easier, faster, and…

4 months 2 weeks ago
Lessons Learned From Recent Academic Progress and Industry Adoption of AI Introduction A few years ago, it was hard to find anyone to have a serious discussion about Artificial Intelligence (AI) outside academic institutions. Today, nearly everyone talks about AI. Like any new major technology trend, the new wave of making AI and intelligent systems a reality is creating curiosity and enthusiasm. People are jumping on its bandwagon adding not only great ideas but also in many cases a lot of false…

4 months 3 weeks ago
Algorithmia's YouTube Channel Automating the use of AI/ML models at every scale with the Serverless AI Layer. Visit http://algorithmia.com A very well done Algorithmia video!

6 months ago
Visit Aperture's YouTube Channel Published on Oct 5, 2018 Artificial Intelligence: Mankind's Last Invention - Technological Singularity Explained Signup and get 20% off a premium subscription! https://brilliant.org/aperture Follow me on Instagram!: https://www.instagram.com/mcewen  

6 months 1 week ago
TWEET THIS If your company is not investing heavily in data-driven intelligence, then it will not last the next decade. Here where technology has made it possible for us to see how the right drugs, programmed drugs or cells could save humanity's worst curse.   Technological Innovation - why is it speeding up? I've been writing on Linkedin occasionally and thought of summarizing some massively trending posts that might help explain my motivation for posting these mini-videos. Trending Video #1…

6 months 2 weeks ago
February 28, 2019 Artificial Intelligence (AI) is undoubtedly one of the main enablers of the digital transformation of modern enterprises. It is used as a vehicle for increased automation of business processes and as a means of optimizing enterprise decisions. Building AI that works means its applications transcend almost all sectors of the economy from finance, cybersecurity, IoT data and devices, transportation, medical devices and healthcare and upcoming 5G mobile networks to industrial applications…

6 months 3 weeks ago
Introduction The rise of the silicon brain that can give rise to thought, emotion and behavior in a machine seems to be on the way. This is mainly due to rapid advances in software and hardware that are paving the way for next generation computational systems with cognitive abilities modeled after the human brain. This will prove to be a significant evolutionary development and especially important to enhancing machine intelligence for the complex problems that need to be solved for the future of humanity…

6 months 3 weeks ago
We would not be comfortable giving emotionally impaired people real-time decision-making authority over our family members’ health, our life savings, our cars or our missile defense systems. Yet we are hurtling in that direction with today’s emotionally impaired AIs.  They — those people, and those AI programs — have trouble doing multi-step abstract reasoning, and that limitation makes them brittle, especially when confronted by unfamiliar, unexpected and unusual situations. Don’t worry, this is not one…

6 months 3 weeks ago
REGISTER “AI is the new electricity.” —Andrew Ng Organizations that successfully apply AI innovate and compete more effectively. Make plans to join us and chart your business transformation.  Early Price ends March 1.  

9 months 2 weeks ago
Let's face it - AI job disruption is underway.. A few years ago I had written an article about how technology is literally obliterating jobs and how to skill yourself up for this new economy. In this article I want to provide you with a renewed peek into what I believe is the road to success, should you want to be part of the artificial intelligence economy - which some are equating to the revolution nearly 120 years ago with electricity. But first, let's take a look at what digital disruption or the…

10 months 2 weeks ago
By Naveen Joshi  |  November 5, 2018  |  CogWorld on FORBES Is data the new oil? Considering oil’s sky-high demand by both industry and government organizations and the fact that oil only becomes more valuable post-refining and offers a competitive edge to those owning this commodity in surplus, I feel the analogy between data and oil is quite justified. Just as oil requires processing to become usable and is fed to engines to work and create value, data requires cleaning and is fed to algorithms to…

10 months 3 weeks ago
A few years ago, I saw this headline news flashing all over the internet.  Our dealers are missing up to $18 billion in easy sales. The Chairman and CEO of Caterpillar suggested that the company and its dealers were losing $9 to 18 billion in easy sales revenue as their sales, both internal and dealer networks, weren't monetizing the real value of data. He worried that... They are not tapping into the wealth of real-time customer data now at their fingertips; they are not communicating with each other…

11 months 2 weeks ago
BUY Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world’s top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want,…

11 months 3 weeks ago
By Thomas Seoh  |  September 28, 2018  |  Source:  CogWorld on FORBESThomas Seoh is CEO of Kinexum, a life sciences strategic advisory firm providing guidance on regulatory, clinical and other translational matters for life science product development. The pace of acceleration in the past several years in AI seems to be starting to climb the exponential part of the “S” curve. From playing Go, to translating one human language into another, to predicting and attempting to compose hit tunes, to…

1 year ago
I have been in the space of artificial intelligence for a while and am aware that multiple classifications, distinctions, landscapes, and infographics exist to represent and track the different ways to think about AI. However, I am not a big fan of those categorization exercises, mainly because I tend to think that the effort of classifying dynamic data points into predetermined fixed boxes is often not worth the benefits of having such a “clear” framework (this is a generalization of course as sometimes…

1 year ago
By Ron Schmelzer  |  August 27, 2018Columnist Ron Schmelzer is Senior Analyst and Founder at Cognilytica One of the factors often credited for this latest boom in artificial intelligence (AI) investment, research, and related cognitive technologies, is the emergence of Deep Learning AI algorithms, and the corresponding large volumes of big data and computing power that makes Deep Learning a reality. However, deep learning is just an approach to machine learning (ML), that while having proven much…

1 year 1 month ago
The Linux Foundation Published on Mar 7, 2018 Keynote Panel: Artificial Intelligence and Machine Learning - Deepak Agarwal, VP of Engineering, LinkedIn; Mazin Gilbert, VP of Advanced Technology, AT&T Labs; Rachel Thomas, Co-founder, fast.ai; Tarry Singh, Deep Learning Executive About Deepak Deepak Agarwal is a vice president of engineering at LinkedIn where he is responsible for all AI efforts across the company. He is well known for his work on recommender systems and has published a book on the…

1 year 2 months ago
By Ron Schmelzer  |  June 23, 2018Columnist Ron Schmelzer is Senior Analyst and Founder at Cognilytica If you have been following the breathless hype of AI and ML over these past few years, you might have noticed the increasing pace at which vendors are scrambling to roll out “platforms” that service the data science and ML communities. The “Data Science Platform” and “Machine Learning Platform” are at the front lines of the battle for the mind share and wallets of data scientists, ML project managers,…

1 year 3 months ago
By Ron Schmelzer  |  June 14, 2018Columnist Ron Schmelzer is Senior Analyst and Founder at Cognilytica If AI is to mean something and be a useful term to help delineate different technologies and approaches from others, then it has to be meaningful. A term that means everything to everyone means nothing to anyone. In “Is Machine Learning Really AI?” I explored what I believe AI has to mean to be useful. In summary, AI systems need to be able to sense and understand their environment, learn from past…

1 year 3 months ago
By Ron Schmelzer  |  June 5, 2018Columnist Ron Schmelzer is Senior Analyst and Founder at Cognilytica One of the downsides to the recent revival of popularity of Artificial Intelligence (AI) is that we see a lot of vendors, professional services firms, and end users jumping on the AI bandwagon labeling their technologies, products, service offerings, and projects as AI projects without necessarily that being the case. On the other hand, there isn’t a well-accepted delineation between what is definitely AI…

1 year 3 months ago
By Hessie Jones   |  May 26, 2018Hessie Jones is CogWord's Reporter from Toronto, and is a CoFounder of Salsa AI It was about a decade ago that this idea of Omnichannel began to take hold. Traditional retailers saw it as a "concept" as their predominantly bricks and mortars presence continued to be the focus channel to serve their customers. Fast forward to 2018 and Machine Learning is bringing this concept into fruition. By definition, “Omnichannel promises to bring retailers closer to their customers…

1 year 3 months ago
By Francesco Corea, Ph.D.  |  May 24, 2018Francesco Corea is a Complexity Scientist, Tech Investor, Data Strategist and AI Advisor II. How AI can change Blockchain Although extremely powerful, a blockchain has its own limitations as well. Some of them are technology-related while others come from the old-minded culture inherited from the financial services sector, but all of them can be affected by AI in a way or another: Energy consumption: mining is an incredibly hard task that requires a ton of…

1 year 3 months ago
By Alan Trefler  |  May 21, 2018Alan Trefler is Founder and CEO of Pegasystems, and a visionary and expert in the field of customer relations for over 30 years The industry is abuzz about artificial intelligence, or AI, and specifically the intersection of AI and CRM technologies. Take the buzzwords away, however, and this is about using smart systems to better engage customers and to make it easier for people to get their work done. That is something I’ve been involved with since the early 80s.  In fact…

1 year 4 months ago
By Kathleen Walch  |  April 19, 2018 As Artificial Intelligence (AI) continues to become a focus for an increasing number of enterprises, these organizations are realizing how important it is to have the right people and skills in place. In particular, we have seen a significant increase in demand for data scientists in organization as AI, various applications of machine learning (ML),  non-ML predictive analytics, and other so-called “big data” approaches continue to gain traction in the enterprise. In…

1 year 7 months ago
By Fabio Bottacci  |  Founder, CEO of VINCI Digital  |  February 19, 2018 Trillion-dollar projections on the expanding size of the market are urging companies to capitalize on the Industrial IoT [IIoT]. For many, however, it remains unclear how industries should apply IIoT to begin making the hyper-efficient and agile factory of the future a reality. Fabio Bottacci, Founder and CEO of VINCI Digital and Industrial IoT Expert Contributor at the World Economic Forum and at the Brazilian Development Bank (…

1 year 7 months ago
MILITARY & DOD ENVIRONMENT Modern military command centers and staffs operate in a demanding, rapidly evolving battlespace environment, with data and information streaming in so fast and in such volumes that defies timely and effective processing. Leaders and planners must make rapid decisions and/or quickly respond despite significant uncertainty. Despite the realities of that uncertainty or fog of war, collaboration within chains of command, across Services, and among coalition partners is essential…

1 year 7 months ago
  By Mounir Shita, Entrepreneur, Business & Technology Executive | April 25, 2017 | Source: Linkedin This post is not meant to give the reader a detailed look into how our algorithms work. The goal is to give the reader an idea of our approach. Now, here's a fun activity: Get your camera phone ready, meetup with one or more Artificial Intelligence scientists and ask them to define intelligence -- scientifically. Make it clear that you define scientifically as not using abstract words such as "…

1 year 8 months ago
By Kevin Fogarty  |  January 3, 2018 Business dithers while consumers lead the way – as they did with social networks, smart phones, the cloud, the web, the internet, LANs, the PC…   2017 was a big year for artificial intelligence. It wasn’t THE year – the one in which au courant versions of AI replaced hunt-and-peck, brute-force computing as the preferred way to write software to solve problems. During 2017 we were still 45 years from a time when AI would do almost anything better than humans, even…

1 year 9 months ago
By Gary Olson (Guest Columnist)  |  November 28, 2017 The history of computers has been a continuum of using technology to perform human tasks theoretically faster, more efficiently and more accurately.  In some instances computers are able to accomplish tasks or calculations beyond human capabilities in a reasonable time frame.   Artificial Intelligence (AI) has become the catch term for all advanced computer accomplishments.  Now we delineate Machine Learning, Deep Learning, Cognitive Computing and…

1 year 9 months ago
By Tom Davenport, Jeff Loucks and David Schatsky  |  Deloitte Survey  |  November 19, 2017  |  Source ANALYSIS   Early adopters speak out on cognitive and AI ​What do the most aggressive adopters of artificial intelligence (AI) and cognitive technologies report based on their efforts to date? On everything from the impact on jobs to their specific goals and exactly which technologies they're using and much more, 250 leaders shared their views on this important business development just as it takes hold…

2 years 4 months ago
By Setrag Khoshafian, Ph.D.  |  May 1, 2017 There’s no doubt about it: Digital Technology has become an indispensable tool for driving customer engagement. For many companies, effective digital solutions are the foundation on which positive B2C, B2B, and B2B2C relationships are built. Technology fills in where legacy or manual systems could not, allowing businesses to create personalized, and intelligent digital user-friendly journeys for a wide range of consumers. AI[1] is the most important digital…

2 years 4 months ago
CLOUDERA Case Study  |  Documents cited: Bloomberg, JPMorgan Chase At Cloudera, we aim to help organizations apply machine learning and advanced analytics to their most critical business problems. Whether that is detecting sepsis rates in hospital patients, identifying genetic variables that may manifest in future illnesses, detecting malicious behavior or access to customer information, or identifying the trends that predict underground child trafficking. We believe data and data science can be a force…

2 years 5 months ago
By Nitin Mittal, Peter Lowes, Rajeev Ronanki, Jerry Wen, Sandeep Kumar Sharma  |  Source: Deloitte Artificial intelligence is only the beginning. CIOs are helping their organizations become more insight-driven, and a suite of fast-evolving cognitive tools is the key, from machine learning, deep learning, and advanced cognitive analytics to robotics process automation and bots. Artificial intelligence’s rapid evolution has given rise to myriad distinct—yet often misunderstood—AI capabilities such as…

2 years 8 months ago
By Chuck Brooks A few years back, The McKinsey Global Institute published an informative analysis that comprehensively examined the economic impact of global technology trends. The study was called “Disruptive Technologies: Advances that will transform life, business, and the global economy.”  The McKinsey predictions were highly accurate. As we move ahead into another year of unprecedented technology advancement, it is useful to examine the trends & technologies and applied verticals that are…