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All Blog Posts Tagged 'AI' (227)

Machine Learning for Frontend Development: The Road to Future

When creating a website, it is an essential objective of developers to make it appealing. They undergo a few systems, including drawing idea sketches, building models, and experimenting with the website before pushing it live.

These procedures don’t occur parenthetically. Developers spend many months on constructing a beautiful and responsive website. Be that as it may, the development in technologies is making things more manageable for them.

The cutting edge technologies like…

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Added by Albert Smith on May 25, 2020 at 8:25pm — No Comments

Do You Need an AI Product Manager

Summary:  What is an AI Product Manager and how do you know when you need one.

 

The role of Product Manager (PM) can mean many things dependent on the specifics of the company, its markets, its channels, and the variety of its products.  It’s almost impossible to put a single label on the responsibilities of a…

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Added by William Vorhies on May 25, 2020 at 10:23am — No Comments

KISS – Complex DNN Techniques are Not the Improvements They’re Reported to Be

Summary:  In a comprehensive study of 18 recently presented DNN advancements in top-N recommenders, only 7 presented sufficient data to allow reproduction.  Worse, of the 7 that could be reproduced none showed an actual improvement over simple linear and KNN techniques when those were properly optimized.

 …

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Added by William Vorhies on May 19, 2020 at 12:53pm — No Comments

Will DNNs Ever Really be Explainable?

Summary: As we have become ever more enamored with DNNs, and their accuracy and utility has been paced only by their complexity we will need to answer the question of whether we will ever really be able to explain what goes on inside.

 

As we have become ever more enamored with DNNs, and their accuracy and…

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Added by William Vorhies on May 11, 2020 at 2:41pm — No Comments

For Better or Worse Analytics and Data Science are Converging

Summary:  Analytic Platforms are rapidly being augmented with features previously reserved for data scientists.  They are presented as easy to use but require substantial data literacy and advanced DS skills for the most complex.  Business users and analysts can pursue more complex problems on their own, but need good oversight.

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Added by William Vorhies on May 4, 2020 at 1:06pm — No Comments

Time for a Chatbot Tune-Up

Summary:  Now that you have a little time for introspection, how about reviewing the performance of your chatbots.

 

Chances are this lock down period has given you a little more time for introspection and observation than you had before.  Let me suggest that this would be a good time to take a look at how your…

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Added by William Vorhies on April 28, 2020 at 11:12am — No Comments

Demystifying the AI Infrastructure Stack

 

As companies increase their investments in artificial intelligence (AI), there is growing pressure on developers and engineers to deploy AI projects more quickly and at greater scale across the enterprise.

 

Simply evaluating the ever-expanding universe of AI tools and services— often designed for different users and purposes—is a significant challenge in this growing and fast-moving environment.

 

To address this challenge, we have created the AI…

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Added by Assaf Araki on April 24, 2020 at 3:30am — No Comments

How COVID-19 is Likely to Change Your AI Strategy

Summary:  COVID-19 and the changes it creates in the business environment for the next 12 to 24 months means our current AI strategies need to thoroughly reviewed and probably retargeted.

 

Whether you are a Zoom-connected CXX level living out your WFH isolation or one the ‘fortunates’ in essential industries…

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Added by William Vorhies on April 21, 2020 at 10:53am — No Comments

Model Transparency and the Complication of Model-Based vs Model-Free Learning

Summary:  High stakes models like those that allocate scarce resources to competing hospitals are headline news.  New thinking contrasting model-based versus model-free learning are emerging to describe new conditions we must consider before building or evaluating those models.

 

At this point we’re all…

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Added by William Vorhies on April 13, 2020 at 2:01pm — No Comments

Predictability of Life Outcomes - Guess We Can’t Predict Everything

Summary: Whether trying to predict the life outcomes of disadvantaged kids or to model where ventilators will be most needed, a little humility is in order.  As this study shows, the best data and the broadest teams failed at critical predictions.  Getting the model wrong, or more importantly using it in the wrong way can hurt all of us.

  …

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Added by William Vorhies on April 6, 2020 at 2:56pm — No Comments

Artificial Intelligence: Revolutionary Change for All Business Sector

Today almost all modern technologies are in full swing, and one such technology is Artificial Intelligence (AI). This modern technology just looks like a science fiction story, but presently it is more closer to that. Most of the businesses and entrepreneurs are putting efforts to integrate this advanced technology within their working environment.

According to market research…

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Added by Manoj Rupareliya on April 6, 2020 at 12:30am — No Comments

Binge Watching “The History of Artificial Intelligence”

Summary:  An interesting documentary about the earliest days of AI/ML and my alternate take on how we should really be describing the development of our profession to the newly initiated.

 

What could be more natural in these days of the Corona Virus than binge watching great videos.  I was intrigued by a…

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Added by William Vorhies on March 30, 2020 at 2:52pm — 1 Comment

Building a COVID-19 Vulnerability Index

Summary: Since COVID-19 is occupying most of our thoughts these days, it seems appropriate to highlight where AI/ML is making a contribution to getting us out of our homes and back to work. 

 

Since COVID-19 is occupying most of our thoughts these days, it seems appropriate to highlight where AI/ML is making a…

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Added by William Vorhies on March 24, 2020 at 8:40am — 2 Comments

Machine Learning at the Edge

Edge computing moves workloads from  centralized locations  to remote locations and it can provide faster response from AI applications.  Edge computing devices are getting deployed increasingly for monitoring and control of real world processes like people tracking, vehicle recognition, pollution monitoring etc.  The data collected at the devices gets transported to centralized cloud servers over data pipelines and are used to train machine learning models. Training models needs lot…

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Added by Janardhanan PS on March 23, 2020 at 12:18am — No Comments

How to Solve the Biggest Challenges in Enterprise AI

90% of data in existence has been generated in the last two years. On a daily basis, 7.5 sextrillion gigabytes of data are generated - around 147,000 gigabytes per person. These numbers are staggering, but it’s to be expected: the world is growing and the machine economy is growing exponentially. That's not to say that all of this data is immediately useful. Organizations can’t simply tap into these sources without massive amounts of pre-processing – but is anybody…

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Added by Maha Islomova on March 10, 2020 at 4:00am — No Comments

Overcoming Challenges in Implementation of Successful AI products

IT professionals acquire AI expertise in a short time by attending couple of online courses. Once the courses are completed successfully, these new gen AI experts look for opportunities to hit problems with the newly acquired AI hammer. It is a challenge to identify problems that need AI for a solution. Majority of the problems seen as an AI problem can be solved easily by traditional statistical methods. But the IT child with new AI hammer in hand thinks that all problems in this…

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Added by Janardhanan PS on March 9, 2020 at 7:00pm — No Comments

Making Sense of the Hype Cycle for Artificial Intelligence

Summary:  If you’re planning your AI/ML business strategy watch out for the confusion in categories and overly risky ratings given by some research and review sources.  Read the research, then consult with your own data scientists for a better evaluation of risk. It’s likely not as bad as you think. 

 …

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Added by William Vorhies on March 2, 2020 at 12:42pm — No Comments

Data Scientists against Disease - new LinkedIn group & GitHub

#Coronavirus: The world sees a new disease which might become a global pandemic. It depends on how we act now.

But how should we act? Maybe #Datascience can help. But we data scientists have not enough data.

All I found is data about the spread per country/region (see my links in the group); I have not found cases, not found details. Let’s unite and make this an effort where we can…

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Added by Carsten Kraus on February 26, 2020 at 11:30am — No Comments

ELAINE Symbolic AI offers community tool to cure “TL;DR” Syndrome

ELAINE Symbolic AI offers community tool to cure “TL;DR” Syndrome

 

The idea of applying Natural Language tool to advance human intelligence is not new. Examples can be found among popular search engines and chat-bots. These applications generally require Machine Learning ahead of lengthy preparations with “human in the loop” training datasets. These pre-requisites are cost intensive in terms of time, labor, infrastructure and skill.

 

A few years…

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Added by Sing Koo on February 25, 2020 at 12:00pm — No Comments

With AI It’s Adoption That Matters

Summary:  How to measure the degree and value of AI adoption among companies or even countries is hard.  Here’s a beginning proposal on how to get started.

 

We talk a great deal about whether there are enough data scientists to go around, whether our advancements in AI techniques are better than others, if…

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Added by William Vorhies on February 25, 2020 at 10:07am — No Comments

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