AI & Machine Learning

The chief information officers from the departments of Health and Human Services, Justice and the General Services Administration offered emerging tech ideas to feds. Artificial intelligence, machine learning and other associated technologies aren’t a panacea for the federal government, but strategic investments in those technologies are becoming almost mandatory for agencies that want to stay

Here’s been a lot of excitement around AI and some real progress has been made. But, there is also a lot of hype surrounding the technology How does the CTO view AI?As the people who will be leading AI integration, CTOs must be well versed in both the technology’s potential and its shortcomings.Across sectors, but

Mention automation in any conversation these days and the first thing that springs to mind is job losses.In much the same way that AI is inextricably associated with the rise of the machines and the fall of humans, so automation is inevitably linked to job losses.Automation – and specifically robotic process automation (RPA) – is

While AI gains traction as a core business enabler for organizations across different industries, a few barriers to AI adoption have slowed down the mainstream adoption and full-fledged applications of this technology. With time, investment, and continued experimentation, these obstacles will eventually be overcome, giving rise to a whole new generation of advanced AI applications.While

What are the key industries that are ripe for disruption as AI becomes more pervasive? Here, we explore the biggest AI predictions Over the next three years, embedded artificial intelligence (AI) will dramatically reshape the customer experience across nearly all industries, with most major businesses providing some type of AI-centred customer experience. Today, 43% of businesses

B2C companies use machine learning for a wide range of use cases ranging from personalized recommendations, intelligent chatbots and hyperlocal advertising, just to name a few. While the number of B2C companies using machine learning is skyrocketing, adoption by B2B companies has yet to take off. It’s time for B2B companies to get their game on. Here

Robotic Process Automation (RPA) is becoming an increasingly large part of digital transformation strategies for enterprises The reasons are clear: According to Deloitte, 53 percent of organisations have started to use RPA to improve efficiency and productivity. RPA allows companies to robotise and automate repetitive tasks, which allows the human workforce to focus on higher value

Just over ten years since bitcoin was introduced to the world, the cryptocurrency industry is going through its most interesting phase yet. The market is currently being shaped by a perfect storm of technological breakthroughs. While a number of technological advances are influencing the industry, artificial intelligence is arguably driving the biggest impact. AI technology

In the waterfall development model, a project is broken down into a set of sequential phases, – e.g., conception, analysis, design, construction, testing, deployment, maintenance, – each dependent on the completion of the previous phase.  Such a model is most appropriate for complex engineering projects, like bridges, airplanes, and computer hardware.  It’s also quite applicable for mission critical

AI has the potential to create $1.4T to $2.6T of value in marketing and sales across the world’s businesses, and $1.2T to $2T in supply-chain management and manufacturing. By 2021, 20% of leading manufacturers will rely on embedded intelligence, using AI, IoT, and blockchain applications to automate processes and increase execution times by up to 25%

Board members and decision-makers are increasingly aware of the benefits of AI and automation, but the question should always remain: Is it right for my business? How does it solve a problem? With the general rise of this technology into business operations also comes challenges, dangers and potential risks to the human workforce. This feature will examine all these aspects and hope to give an overall look at AI and automation in the enterprise.