machine learning

“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 […]

At its AWS Summit in San Francisco this week, Amazon Web Services announced a series of new services and GA’d a few from Re:Invent but the theme coming out at the conference was clearly on broadening its ability to accelerate your organization’s digital innovation strategy. While the core of this theme has been a key focus of AWS since its […]

Amazon recently launched a new and unique type of store, after beta testing it for the better part of a year. The store, dubbed Amazon Go, promises consumers no checkout lines: Everything you grab from the shelves is tracked and charged to your Amazon account. With the help of the enigmatic Just Walk Out technology, […]

In volatile market conditions, conservative industrial giants must move faster to survive. And this digital transformation of traditional manufacturing firms cannot — must not — simply be about making existing industrial processes more efficient. They must recognise the opportunity to use digital as a way to create more sustainable and profitable customer relationships, continuously aligning […]

The National Retail Federation’s Big Show attracted tens of thousands of attendees . Far from resigning themselves to conquest by market places they are determined to make the right investments to thrive and survive. Three years ago we found retail CIOs most concerned about innovation and security https://www.forrester.com/report/The+Retail+CIO+Agenda+2015+Secure+And+Innovate/-/E-RES121188 At the NRF show in 2018 it […]

When you get over the fear of a robot taking over your job – because if you see our robots today they are still pretty dumb – your next big concern is how these new workers are going to perform. It’s not just a training question, it’s a management question. We all know the risk […]

I attended AdExchanger’s semi-annual Programmatic I/O conference last week to absorb the latest in industry talk and get a pulse check on the health and wellness of the programmatic ecosystem. This show was illuminating in that I found signs of both enthusiasm and beleaguerment in equal measure. It felt, in short, like a meaningful corner […]

Building AI applications is hard work, but cloud vendors are making it easy by exposing simple-to-call, pay-as-you-use APIs. Want to add real-time speech recognition to your app? There’s an API for that. Want to recognize faces in an image? There’s an API for that and many more, courtesy of cloud giants Amazon Web Services (AWS), […]

It is the best of times, and the worst of times to be a data scientist (apologies to Charles Dickens). It is the best of times, because, like never before, we have access to data, computing power, and rapidly evolving tools to create insights and applications with the potential to revolutionize business and the world […]