machine learning

Automated machine learning (autoML) can unleash the power of ML throughout your enterprise. But only when you have the right use cases and the right vendors.

(Jeremy Vale coauthored this post.) Brace yourself: Computer vision is coming. “The Long Night” is finally over, and enterprises see the opportunity more clearly than ever. With AI replacing biological rods and cones, computer vision is now a must-have weapon in every firm’s arsenal. Computer vision solutions are spreading like wildfire. While use cases such […]

This month’s Insights Beat uncovers new ways to accelerate digital transformation, featuring some of our latest research on data and analytics technologies and strategies.

What will your humans do in an automated workplace? Principal Analyst Sam Stern explains three principles for seamless human-machine collaboration. Watch now and learn more at CX NYC June 11-12.

I have been noodling on the future of digital experience (DX) for the better part of six years. Today I want to run a hypothesis past you: Headless architecture and AI/machine-learning (ML) automation are competing for the future (and soul) of the DX tech stack. So let’s examine both sides of this equation: 1.) Headless, […]

Are We Running Out Of Ideas? As the pace of disruption accelerates, there is an increasingly important focus being put on innovation. Now along comes some work published in the MIT Technology Review by economists from MIT, Harvard, and Boston University, “AI is reinventing the way we invent,” that highlights how the increasing amount of […]

If you were to ask me a year ago what I would point to as a best practice for data governance, my response would be to look at what financial services firms do to meet their regulatory requirements. Fast-forward to the age of GDPR and the new privacy mandates coming out of California (CCPA), and […]

Every company faces a central dilemma: how to resolve the standardization and differentiation of its business apps to win, serve, and retain customers. That’s why we are still getting a lot of questions about this report. We have been wondering how much the move to cloud, mobile, and embedded machine learning or artificial intelligence will […]

“You who are on the road must have a code that you can live by . . . teach your children well . . . and feed them on your dreams.” Graham Nash was spot-on — about machine-learning. Training a well-adjusted machine learning model that won’t get in trouble and embarrass you in public requires the […]

Machine-learning models may occasionally suggest an undesirable action. The action might be either biased or unethical — or just bad for business. Most of the time, the suggestion won’t be wrong. How can developers protect against these bad outcomes? It’s Simple You don’t have to do what the model tells you to do. If someone told […]

AWS just announced Amazon SageMaker Ground Truth to help companies create training data sets for machine learning. This is a powerful new service for folks who have access to lots of data that hasn’t been consistently annotated. In the past, humans would have to label a massive corpus of images or frames within video to […]

Web Summit took place for the third time in Lisbon earlier in November. Over the years, Web Summit has become one of the leading global conferences to discuss everything technology. The large presence of startups and fast pace of presentations across many different stages give Web Summit a particular edge. It is impossible for a single […]

Feeling overwhelmed with all the data that your teams must wrangle before even getting to data science? Feeling like you have more than enough dashboards and tools? Feeling like you don’t have any more room in your complex data and analytics environment for yet another platform? Feeling like you can’t keep up with the exploding […]

Alibaba has become one of the world’s most fascinating and cutting-edge technology businesses — and is key to understanding where the digital era is heading.

Nearly all CIO organizations struggle to optimize cloud consumption. It’s helpful that there is a growing set of tools to help you learn how to best leverage cloud platform services and how to identify when your use is suboptimal and overly costly. But this guidance would be far more effective if it could give you […]

Machine learning is an elemental core competency. It is a fundamental building block to AI. It gives enterprises the power to predict. Most importantly, it can make enterprises gain the agility of disruptive upstarts by injecting scalable intelligence into customer experiences, business process applications, and employee decisions. That’s where predictive analytics and machine learning (PAML) solutions […]

This value was strongly reinforced at Google Cloud Next ’18 this week. Several enterprises talked through how cloud services like Google Cloud Platform are not just sources of application agility and on-demand infrastructure but are platforms providing high-value access to technology chains they can leverage confidently for innovation efforts. For example, Larry Colagiovanni, vice president […]

Enterprises are sitting on mountains of unstructured data — 61% have more than 100 terabytes, and 12% have more than five petabytes! Luckily, there are mature technologies out there that can help. First, enterprise information architects should consider general-purpose text analytics platforms. These are capable of handling most, if not all, text analytics use cases, both […]

Nearly all firms want to do more with data science. However, executives and data scientists alike are frustrated by the difficulty of turning new initiatives into business impact at scale. Outside of well-established use cases — such as risk scoring or optimizing search results — data scientists regularly complain that their solutions can take months or even […]