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All Blog Posts Tagged 'ML' (50)

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 — No Comments

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

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

Web Personalisation with Drupal and Machine Learning

In this modern age, self-driving cars, voice-based assistants, social media feeds, and more are the tools fuelled by the technological marvel of the 21st century called machine learning.

If you wish to learn about the importance of web personalization and how machine learning impacts the Drupal development, then this article is for you.…

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Added by Ryan Williamson on February 13, 2020 at 8:25pm — No Comments

Leverage Machine Learning to Boost your Social Impact

Machine learning uses a lot of data and algorithms to predict something unexplored. Machine learning is simplifying our way of living, communicating, travel and work. Everyone uses machine learning in their daily lives. There has been a data revolution in the last few years, which has modified the way we obtain, create and communicate with the data.…

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Added by Nitin Garg on February 11, 2020 at 11:00pm — No Comments

An Argument in Favor of Centaur AI

Summary:  Centaur AI is the best marriage of the machine’s ability to remember, analyze, and detect issues along with the human’s intuition to evaluate or take action on those results.  Instead of focusing on AI replacing humans, we should focus on AI in its role of augmenting humans.

 

In this angsty age where…

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Added by William Vorhies on February 11, 2020 at 1:19pm — No Comments

Importance of Hyper-parameters in Model development

Machine Learning (ML) development is an iterative process in which the accuracy of predictions made by the models is continuously improved by repeating the training and evaluation phases. In each of these iterations, certain parameters are tweaked continuously by developers. Any parameter manually selected based on learning from previous experiments qualify to be called a model hyper-parameter. These parameters represent intuitive decisions whose value cannot be estimated from data or from…

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Added by Janardhanan PS on January 16, 2020 at 12:00am — 1 Comment

Just How Much Does the Future Depend on AI?

Summary:  Looking at the 12 hottest world-changing segments in the VC-funded world shows that AI will play a key role.  Here’s a little more detail.

 

From the inside of the data science profession looking out it’s easy to imagine that almost everything that is or will be important somehow depends on AI.  Maybe…

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Added by William Vorhies on January 13, 2020 at 11:20am — 1 Comment

Visually Explained: Three Excel Core-Features Even Excel-Pros Don't Know

Over the last few years, Excel has been redesigned from the ground up. Currently, Microsoft is making the new Excel core-features available to every user, regardless of your Office 365 license. Thanks to the Microsoft naming conventions, it is easy to confuse the new features with existing ones. That being said, Power Query and Power Pivot are not the same things as Pivot Tables, which you have likely been using for years.…

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Added by Rafael Knuth on November 28, 2019 at 6:10am — No Comments

The Logjam in AI/ML Platforms is About to Complicate Your Life

Summary:  Too many solutions.  We are at an inflection point where too many vendors are offering too many solutions for moving our AI/ML models to production.  The very real risk is duplication of effort, fragmentation of our data science resources, and incurring unintended new technical debt as we bind ourselves to platforms that have hidden assumptions or limitations in how that approach problems.

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Added by William Vorhies on November 25, 2019 at 9:44am — No Comments

The Journey of Machine Learning Through Banking & Insurance Industry

When we take into account the insurance and banking industry, data plays a central role in it. Insurance is a people-centric business. A business that heavily relies on an individual’s data to the maximum extent possible. And the data Insurance providers and carriers have access to more of such data than ever before. The amount of data, we as humans have created in the past two years is simply unprecedented. …

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Added by Albert Smith on November 14, 2019 at 10:52pm — No Comments

Contextually Intelligent NLP Assistants – AI’s Next Big Technical Challenge

Summary:  Contextually intelligent, NLP-based interactive assistants are one of the next big things for AI/ML.  The tech is already here from recommendation engines.  The need to be more efficient and to become AI-augmented in our decision making is now.  Getting the contextual awareness is the hard part.

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Added by William Vorhies on October 28, 2019 at 9:43am — No Comments

The Next Big Thing in AI/ML is…

Summary:  AI/ML itself is the next big thing for many fields if you’re on the outside looking in.  But if you’re a data scientist it’s possible to see those advancements that will propel AI/ML to its next phase of utility.

 

“The Next Big Thing in AI/ML is…” as the lead to an article is probably the most…

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Added by William Vorhies on October 21, 2019 at 9:18am — 1 Comment

Surprise – Model Improvements Don’t Always Drive Business Impact

Summary:  Data Scientists from Booking.com share many lessons learned in the process of constantly improving their sophisticated ML models.  Not the least of which is that improving your models doesn’t always lead to improving business outcomes.

 

The adoption of AI/ML in business is at an inflection point. …

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Added by William Vorhies on October 14, 2019 at 9:28am — 1 Comment

Top 6 AI Companies to Start Your ML Project

There are a lot of AI Companies that offer Machine Learning development. Even choosing the right ones for your project could take a decent amount of time, not even mentioning to pick the one that fits.

We decided to help CEOs, established companies, and startups that are looking for AI & ML Developer to save time…

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Added by Roman Chuprina on October 7, 2019 at 2:36am — 1 Comment

Privacy and AI - How Much Should We Really Care

Summary:  More data means better models but we may be crossing over a line into what the public can tolerate, both in the types of data collected and our use of it.  The public seems divided.  Targeted advertising is good but the increased invasion of privacy is bad.

 

Headlines are full of alarm.  The public is up in arms.  The internet is stealing their privacy.  Indeed, the Future of Humanity Institute at Oxford rates this as the most…

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Added by William Vorhies on July 8, 2019 at 7:30am — 1 Comment

How big businesses are using AI to be on the top of the table?

As we all know that artificial Intelligence is slowly slowly becoming the most important and most integral part for the small to big businesses. It helps the business from the purchase of a product or manufactures the products to deliver the product to the client or customers. Here we have come with a small analysis of big business Company named coca…

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Added by Priyank Soni on June 13, 2019 at 7:30pm — No Comments

Big Ideas in AI for the Next 10 Years

Summary:  Despite our concerns about China taking the lead in AI, our own government efforts mostly through DARPA continue powerful leadership and funding to maintain our lead.  Here’s their plan to maintain that lead over the next decade. 

Think all those great ideas that have powered AI/ML for the…

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Added by William Vorhies on June 10, 2019 at 8:28am — No Comments

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