machine learning

The emergence of machine learning (ML) has tremendous power. Learn how to harness that power, and manage the concurrent risks, with our insights.

Insights

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Just Published: Dual Forrester Wave™ Evaluations On Text Analytics

Boris Evelson June 17, 2020
Enterprises have been successfully leveraging analytics platforms such as business intelligence (BI), predictive analytics based on machine learning (PAML), cognitive search, and others for multiple applications and use cases for decades. That has not been the case with text analytics or natural language processing (NLP) technologies. Forrester tracks over a hundred vendors whose platforms are […]
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Artificial Intelligence Is Dumb Without The Elasticity Quotient

Michele Goetz June 2, 2020
The elasticity quotient can help overcome machine learning hurdles by acting as the economic indicator for the C-suite. Learn how.
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Welcome To The Future

A pragmatic view of the future of work, and what you can do now to stay in front of this revolution.

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Use These First Principles To Succeed With Robotic Process Automation In 2020

Leslie Joseph June 1, 2020
Let’s just say that one measure of the hype that surrounds any emerging technology is the amount of new (and largely superfluous) jargon that it generates. The Enterprise Automation Market Needs Pragmatic Advice The market for robotic process automation (RPA) has been in hyper growth for a while now. RPA and its extension into intelligent […]
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No Deploy, No Joy: Leverage ModelOps To Operationalize AI And Machine Learning

Kjell Carlsson, Ph.D. May 28, 2020
AI is hard. You know it, and we wouldn’t be writing about it if it wasn’t a mission-critical challenge facing businesses today. Unlike the software development lifecycle, where good code is built to last for some time, AI models are subject to the dynamism and vicissitudes of the world they’re designed to represent. AI models […]
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The 37 Major Machine-Learning Tools For 2020

Kjell Carlsson, Ph.D. May 27, 2020
Enterprises need more artificial intelligence and machine-learning (ML) solutions to drive value, transform their businesses, and outperform the competition. But firms find it challenging to navigate the lifecycle of developing, deploying, and maintaining their ML models and AI solutions. A key problem? They don’t have the right PAML (predictive analytics and machine learning) solutions that […]
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The Insights Beat: Data And Analytics Make The Perfect One-Two Punch

Srividya Sridharan May 15, 2020
Spring is usually an exciting time in the sports world. It marks the culmination of the men’s and women’s college basketball seasons, the NBA and NHL playoffs begin, the domestic European soccer (football) leagues are in full swing, and the Boston Marathon traditionally takes place on the third Monday of April. But the COVID-19 crisis […]
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COVID-19, Automation, And You

Leslie Joseph May 11, 2020
The COVID-19 crisis has accelerated automation adoption, not just as a cost measure, but also for risk mitigation and business resiliency.
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Insurtech Funding Roundup, Q1 2020: Investors Reduce Risk As The COVID-19-Induced Downturn Settles In

Jeffery Williams April 29, 2020
Insurtech funding contracted last quarter amid economic uncertainty. As the pandemic and its aftereffects linger, the outlook remains unclear.
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Summit 2020: AI Can Heighten Your Senses, But Don’t Let It Reduce Your Common Sense

Caroline Robertson April 16, 2020
Artificial intelligence can help marketers fulfill their mission of influencing prospects and clients. But using these tools well requires keen human judgment.
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The Insights Beat: Spring Has Sprung — Get Your Data And Analytics Tools In Order

Srividya Sridharan April 10, 2020
The time of year has finally arrived when the sun lingers on the horizon longer and longer, life creeps back into the trees, and weather forecasts look much more favorable. But this normally welcome period of seasonal change coincides with unprecedented change in how we are forced to conduct business. In the midst of the […]
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Your Friendly Neighborhood AutoML-Empowered Data Scientist

Kjell Carlsson, Ph.D. April 7, 2020
(Jeremy Vale coauthored this post.) Automation-focused machine learning (AutoML) has the power to dramatically upscale AI at your organization. With AutoML tools, organizations can unlock valuable new business insights, embed advanced AI capabilities in applications, and empower data scientists and nontechnical experts alike to build predictive models rapidly. AutoML Gives New ML Powers To Data […]
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Multilayer Maps Can Guide COVID-19 Public Health Strategy

Ted Schadler March 26, 2020
Vice President Ted Schadler explores how combining data sources with mapping capabilities can create tools to inform public health decisions.
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Can AI Predict Global Pandemics Like The Coronavirus?

Mike Gualtieri March 23, 2020
AI is supposed to be the most powerful pattern detection and prediction technology in the world. It therefore begs the question: Can we use AI to predict future global pandemics far enough in advance to tamp them down or prevent them altogether?
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Combat In The Cloud: Securing The $10 Billion JEDI Contract

Tracy Woo March 12, 2020
Last October, Microsoft won the $10 billion U.S. Department of Defense (DoD) Joint Enterprise Defense Infrastructure (JEDI) contract. The 10-year agreement is part of a larger Pentagon initiative to modernize and unify its IT infrastructure, most of which still exists on technology from the 1980s and 1990s. The Microsoft decision came as a massive shock […]
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The Insights Beat: Stay On Course With Smart Data And Analytics Choices

Srividya Sridharan March 10, 2020
As companies navigate through murky waters amid global health and economic headwinds, as a data and analytics leader, it may feel like there are many things that are out of your hands today. As you weather these conditions, it is still important to chart a steady course and be laser-focused on the parts you can […]
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How To Fight Bias In Machine-Learning-Based Experiences

Andrew Hogan February 10, 2020
AI is not a black box and AI developers must learn to accept and deal with bias. Analyst Andrew Hogan gets some insights on AI and ethics from Carol Smith of Carnegie Mellon's Software Engineering Institute.
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AI Solution Development Requires Trusted Cooperation For The Long Haul

Guannan Lu January 29, 2020
Many AI practitioners and those exploring AI solutions expect to reap the benefits of AI technologies simply by adopting licensed API services in the cloud. However, in many cases, an out-of-the-box solution is not enough to solve ongoing business challenges. A three-month pilot implementation is usually only enough to demonstrate the value of the concept […]
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Apple’s $200M Acquisition Of Xnor.ai — A Snapshot Into Our AI-On-The-Edge Future Via Your iPhone

Kjell Carlsson, Ph.D. January 22, 2020
(Jeremy Vale coauthored this post.) Cellphone manufacturers are struggling to differentiate themselves. In the ads from the late 2000s, new phones were sleeker, faster, contained more memory, and could even have a touchscreen. Fast-forward to today, and only the almighty camera receives attention. Apple’s acquisition of Xnor.ai is the latest move in the battle for […]
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Video

Shatter The Seven Myths Of Machine Learning

Kjell Carlsson, Ph.D. January 3, 2020
Think you know enough about machine learning? Senior analyst Kjell Carlsson identifies some surprising misperceptions to help you increase your machine-learning literacy.
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Blog

A Roundup Of Key Machine-Learning Announcements From AWS re:Invent

Leslie Joseph December 4, 2019
For data science practitioners, machine learning developers or insights-driven business leaders, here are the key announcements from Amazon's AWS re:invent 2019 show that you should care about.
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