machine learning

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.

Senior Analyst Kjell Carlsson describes how computer vision platforms can help develop and deploy a broad range of CV models at scale.

Microsoft unveiled a significant new addition to its Microsoft 365 productivity suite today (November 4), code-named Project Cortex. In private beta now, and with expected general availability in the first half of 2020, this enhancement is designed to address a perennial challenge for enterprises: surfacing and revealing collected corporate knowledge. Why Is This Important? Corporate […]

In 2020, companies will become laser-focused on AI value and accelerate adoption. Get Forrester's top three predictions for AI in 2020.

Learn the topics that data professionals want to hear about most at the upcoming Data Strategy & Insights Forum.

The hype around robotic process automation (RPA) continues unabated, as does the hypergrowth. I am happy to announce the availability of the first-ever Forrester Wave™ evaluation of RPA services. Forrester clients can read the report here. The RPA market has shown some interesting trends of late: As Craig Le Clair and I established earlier this […]

Want to take over the world using AI? Contrary to popular belief, AI technology isn’t going to design a plan for AI-enabled world domination for you. (And don’t hold your breath, it won’t be doing so anytime soon.) Instead, it is on you to identify the untapped, world-changing business opportunities that best leverage AI’s unique […]

What can a small Swedish town near the Arctic Circle teach you about GDPR and computer vision? You might be surprised. Senior Analyst Kjell Carlsson provides an intriguing case study.

Machine learning continues to disrupt and democratize itself. Announcing two new Forrester reports that describe the popularity of running machine learning pipelines and workloads in the public cloud, in North America and in Asia Pacific.

AI is becoming more empathetic and customer-centric. The future is closer than you think. Are you ready?

Fueled by the massive growth of AI, the adoption of computer vision solutions and services is on the rise. Senior Analyst Kjell Carlsson breaks down the CV market to help match the right solution to your use case.

Chatbots rely on natural language processing (NLP) to understand you. Before they can process a language, they must learn it. Read more.

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 […]