- Priya Sharma – Sr. Data Scientist -IoT Analytics, SAS Institute Inc.
- Saurabh Mishra – Product Management, IoT, SAS Institute Inc.
June 12, 2020
Description: Majority of AI approaches are based on the construct of training against historical data and then inferencing new data. While this is a sound and proven approach, a lot of IoT assets coming online don’t have historical data and we don’t necessarily have the time to wait.
Modern Machine… Continue
Added by Jane Howell on June 12, 2020 at 2:30pm —
We always knew that the evolution of technology would lead us to newer avenues and opportunities in life. But little did we imagine that there would come a day that we would have a technology that would allow us to turn off electric appliances in our house from our office. No more “Did I turn it off” conundrums! That is the magic of the Internet of Things. And here’s an interesting statistic about this rockstar of technology: The number of connected devices in the world was 8.4 billion,… Continue
Added by Ryan Williamson on May 4, 2020 at 4:23am —
The eLearning industry is already surging on today’s words and finding ways to enhance the learning experience through leading technologies that are loved by many. Recently eLearning has embraced AR/VR technology which has changed the whole dynamics of what learning is.… Continue
Added by Bhupinder Kour on April 28, 2020 at 12:40am —
In today's hyper-competitive business world, B2B & B2C businesses rely on data to achieve an edge in their markets. However, many companies do not realize that customer data decays rapidly and create challenges in achieving business goals. In the postmodern era, customers simply change base too often, and to maintain a complete and accurate record of their whereabouts is a challenging task. Dirty data not only damages your credibility but also costs you money… Continue
Added by Chirag Shivalker on March 4, 2020 at 9:24pm —
Machine Learning (ML) models are increasingly being used to augment human decision making process in domains such as finance, telecommunication, healthcare, and others. In most of the cases, users do not understand how these models make predictions. The lack of understanding makes it difficult for policy makers to justify their decisions. Most of the ML models are black boxes that do not explain on its own why it reached a specific recommendation or a decision. This forces the users to say… Continue
Added by Janardhanan PS on February 27, 2020 at 7:00pm —
Traditional programmers hit a stone-wall when they start working on Machine Learning (ML) development projects. They were used to coding based on design derived from requirements, logic/rules and when they move into a new paradigm in which rules are automatically generated from data, they are surprised. In ML paradigm, we do not find any output code and we see an output in the form of a binary object called model that goes into production. You may be wondering without measuring lines of code,… Continue
Added by Janardhanan PS on February 10, 2020 at 7:14pm —
Summary: 99% of our application of NLP has to do with chatbots or translation. This is a very interesting story about expanding the bounds of NLP and feature creation to predict bestselling novels. The authors created over 20,000 NLP features, about 2,700 of which proved to be predictive with a 90% accuracy rate in predicting NYT bestsellers.
Added by William Vorhies on September 3, 2019 at 7:35am —
Summary: Communicating with your Board of Directors about AI/ML is different from conversations with top operating executive. It’s increasingly likely your Board will want to know more and planning that communication in advance will make your presentation more successful.
As AI/ML becomes increasingly… Continue
Added by William Vorhies on April 29, 2019 at 9:35am —
The Merriam-Webster dictionary defines the word 'augment' this way: 'to make greater, more numerous, larger or more intense'. If you are wondering how this applies to the term 'augmented analytics', you are not alone. Let's take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.
What is Augmented… Continue
Added by Kartik Patel on April 24, 2019 at 3:00am —
Players in ecommerce, entertainment, finance, Internet and social media space drive and influence risk indicators for not just for themselves but for users of Internet and increasingly to larger society as side effects spread to social, political and economic scenarios. Any risks from above domains are dominant and may easily be extrapolated in domains too.
There are five risks that may influence society negatively and turn in to resistance force for adoption of digital… Continue
Added by Chandra Shekhar on January 1, 2019 at 11:00pm —
Blockchain, which is a form of a decentralized digital ledger technology, has gained enormous attention in the recent years, precisely, since 2004. In fact, it has disrupted how major industries operate both locally and internationally.
Blockchain and security,… Continue
Added by Stevan McGrath on September 25, 2018 at 8:30pm —
I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.… Continue
Added by Kai Waehner on August 1, 2018 at 11:00pm —
Summary: Now that we’ve detailed the four main AI-first strategies: Data Dominance, Vertical, Horizontal, and Systems of Intelligence, it’s time to pick. Here we provide side-by-side comparison and our opinion on the winner(s) for your own AI-first startup.
In our last several articles we’ve taken a tour of the four major… Continue
Added by William Vorhies on July 31, 2018 at 8:20am —
Summary: The fourth and final AI strategy we’ll review is Systems of Intelligence (SOI). This is getting nearly as much attention as the Vertical strategy we previously reviewed. It’s appealing because it seems to offer the financial advantages of a Horizontal strategy but its ability to create a defensible moat requires some fine tuning.
Added by William Vorhies on July 24, 2018 at 9:00am —
The global industrial Internet of things market delivers a complete analysis of industrial connected devices and machines used for various applications by end-users depending upon their uses. The report offers an in-depth study of the market drivers, restraints, and growth opportunities. With the help of these factors, the analysts have identified various trends prominent in the industry which are anticipated to influence the market growth during the forecast period. It includes a complete… Continue
Added by Alisha Wilson on February 26, 2018 at 3:30am —
I was recently asked to conduct a 2-hour workshop for the State of California Senior Legislators on the topic of “Big Data, Artificial Intelligence and Privacy.” Honored by the privilege of offering my perspective on these critical topics, I shared with my home-state legislators how significant opportunities await the state. I reviewed the once-in-a-generation opportunities awaiting the great State of California (“the State”), where decision makers could vastly…
Added by Bill Schmarzo on February 13, 2018 at 5:30am —
Organizations looking for justification to move beyond legacy reporting should review this little ditty from the healthcare industry:
The Institute of Medicine (IOM) estimates that the United States loses $750 billion annually to medical fraud, inefficiencies, and other siphons in the healthcare system…
Added by Bill Schmarzo on January 26, 2018 at 1:30pm —
Recently 2017 came to a glittering end and as we look back through the lens of technology, the winner was probably Artificial Intelligence aka AI. It received tremendous success as much as some of the industry leaders commented that 2017 was the ‘Year of AI’. This write-up is an attempt to collate the achievements under the academic and industry.
Starting off with academics, the sheer volume of papers published is increasing every year. To give you some statistics,… Continue
Added by Kinnar Kumar Sen on January 25, 2018 at 6:30am —
“Big Data is dead.” “Big Data is passé.”
“We no longer need Big Data; we need Machine Learning now.”
As we end 2017 and look forward to big (data) things in 2018, the most important lessons of 2017 – in fact, maybe the most important lesson going forward – is that Big Data is NOT a thing. Big Data isn’t about the volume, variety or velocity of data any more than car…
Added by Bill Schmarzo on January 20, 2018 at 5:30am —
I was recently a guest lecturer at the University of California Berkeley Extension in San Francisco. On a lovely Saturday afternoon, the classroom was crowded with students of all ages learning the tools of the modern economy. The craftspeople of the “Analytics Revolution” were busy learning new skills and tools that will prepare them for this Brave New World of analytics. I was blown away by their dedication!
As we teach the next generation, it’s important…
Added by Bill Schmarzo on January 19, 2018 at 5:00am —