AI adoption is on the rise. According to a recent McKinsey survey, 55% of companies use artificial intelligence in at least one function, and 27% attribute at least 5% of earnings before interest and taxes to AI, much of that in the form of  cost savings.

As AI will dramatically transform nearly every industry it touches, it’s no surprise that vendors and enterprises are looking for opportunities to deploy AI everywhere they can. But not every project can benefit from AI and attempting to apply AI inappropriately can not only cost time and money but also sour employees, customers, and corporate leaders on future AI projects.

The key factors for determining whether a project is suitable for AI are business value, availability of training data, and cultural readiness for change. Here’s a look at how to ensure those criteria are in line for your proposed AI project before your foray into artificial intelligence becomes a sunk cost. Read More

“The internet is a big newspaper that everyone reads.” When I worked at Advertising Age, an ad industry trade publication, we’d use that line whenever a source didn’t want to share news with us. We were a small, narrowly-focused magazine, yes. But once we broke a story, it would travel around the web. So why not get an in-depth, thoughtful article from us and let it rip?

The line worked often, and likely because the internet was indeed kinda flat when we used it in the early 2010s. Paywalls were rare. The “content” boom was just underway. And though concerns of “filter bubbles” percolated, social media algorithms were either rudimentary or still on the roadmap. So news from any single entity could travel just about everywhere. 

Today, however, we’ve moved into a siloed web — and the line no longer applies. Information on one part of the internet is likely to stay there, and only a tiny percent of stories break through. Rather than one big community, the web is a community of communities. And often, they don’t overlap at all. Read More 

AI & Machine Learning Will Drive Industry 4.0

This article looks at the ways in which firms across the various sectors of the economy adopt Artificial Intelligence (AI) techniques. However, before we review the sectors affected it is important to note the underlying drivers that are fuelling the growth in the influence and reach of Machine Learning across the sectors of the economy will only grow as we move forwards. This is because Big Data is only getting larger, velocity of data faster, plus the availability of cheaper data storage plus the arrival of powerful Graphical Processing Units (GPUs) to enable Deep Learning algorithms to be deployed. Furthermore, new research in areas of Deep Learning and other Machine Learning areas will continue to emerge into real world production over the next few years leading to new opportunities and applications.

The DLS team strongly believe that the advent of 5G around 2021 will be a transformative and revolutionary moment in human history. The enhanced speed of 5G over 4G will enable technologies, that struggle today with latency requirements, such as virtual reality and autonomous systems, to perform with real time efficiency.

This will be a world of intelligent Internet of Things (IoT) on the edge (meaning on the device) where the data is processed at the place where it is generated and Deep Learning models can run on the device itself rather than on a remote cloud server. This will obviate the need for an autonomous agent such as a robot or vehicle to wait receiving a response from a remote server before it can take an action.      Read More

Technology as determinant of historical cycles in market and government influence, why culture has stagnated despite advances in the tools that make it, how wokism will lose, and more!

My first question for you is one I posed recently in a conversation with Marc Andreessen, which was inspired by the common sentiment from the activist-class that non-engagement in politics is the same as working against human progress: Almost all technological advances and improvements to quality of life seen over the last half-century have found their way to the public from the private sector. While the same ineffectual debates over equal opportunities in education, employment, and healthcare have happened in congress for decades, the private sector has made university-level learning accessible and free, employs over 70% of all Americans, and inches nearer every year to making death optional. I’m uncertain whether we need politics at all with a market so apt at solving problems and would even like to think issues like race in the United States may be amenable to a market solution. Is it reasonable for me to think so broadly about what the market can do?

Well, lots to talk about here.

Technology is the Driving Force of History Read More

Three key ways artificial intelligence is changing what it means to compute.

Fall 2021: the season of pumpkins, pecan pies, and peachy new phones. Every year, right on cue, Apple, Samsung, Google, and others drop their latest releases. These fixtures in the consumer tech calendar no longer inspire the surprise and wonder of those heady early days. But behind all the marketing glitz, there’s something remarkable going on. 

Google’s latest offering, the Pixel 6, is the first phone to have a separate chip dedicated to AI that sits alongside its standard processor. And the chip that runs the iPhone has for the last couple of years contained what Apple calls a “neural engine,” also dedicated to AI. Both chips are better suited to the types of computations involved in training and running machine-learning models on our devices, such as the AI that powers your camera. Almost without our noticing, AI has become part of our day-to-day lives. And it’s changing how we think about computing. Read More

Artificial intelligence (AI) helps organizations to make timely and accurate decisions from data in almost every field of study.

The volume of data keeps growing. Statista believes that 59 Zettabytes were produced in 2020 and that 74 Zettabytes will be produced in 2021.

A Zettabyte is a trillion gigabytes! Read More