"Once a company has automated its basic tasks it can move on to using more intelligent cognitive services to enable a greater degree of automation and further maximise return on investment.
There's no question, AI is set to revolutionise society as we know it. We'll see unprecedented developments in the public sector and medicine and we'll realise drastic improvements in the way we do business. Most businesses are now fully aware of the need to start embracing intelligent automation for competitive advantage and are looking long-term at how different forms of artificial intelligence (AI) will impact their market..."
"CIOs have moved from talking about AI to trying to jumpstart projects. But what kind of projects should you start with? Let's look at real examples of what works...
It's amazing how quickly the conversations that I'm having with CIO colleagues and clients about artificial intelligence (AI) and/or machine learning (ML) have shifted in recent months. I've gone from hearing many say they're taking a 'wait-and-see' approach to many suddenly wanting to get a jumpstart on the promise of these technologies. There's a lot of excitement about how much value can be garnered from an AI/ML implementation: Increasingly CIOs and IT leaders are chomping at the bit to implement something to show what they can do..."
"As the adoption of artificial intelligence (AI), deep learning, and big data analytics continues to grow, it is becoming increasingly important for edge computing systems to process large data sets in a timely and efficient manner. The basic compute, storage and networking capabilities are all present today at the edge, but speeds and capacity will only continue to increase and advancements like NVMe (Non Volatile Memory Express) will offer significant performance advantages and boost AI adoption at the edge..."
"With global supply chains becoming increasingly complex, manufacturers are starting to turn to AI to help untangle the web. The results could have huge national security implications...
According to leading supply chain analyst Louis Columbus, the biggest challenge facing the high tech industry in 2019 will be securing their supply chains. The challenge is that, as supply chains grow more complex, manufacturers may not be able to answer the question with confidence as to who their suppliers really are..."
"Forget the little pilot project. Enterprises that want to survive the disruptions ahead need to get their tech ready today or expect to be gone in two years.
Are companies around the world headed for an artificial intelligence and automation apocalypse? Maybe. AI is not just coming for your jobs. It may also be coming for your company.
Some of the top companies in the world may be headed for a disaster they may not even see coming unless they start making bold moves to leverage new technologies such as AI and cloud. That's according to Deloitte director and chief cloud strategy officer David Linthicum, who recently spoke with InformationWeek..."
"Devising compute strategies for AI applications can be challenging. Find out about the hardware, network and software frameworks available...
Machine learning compute infrastructures are primarily catered towards organisations looking to build infrastructure stacks on-premise. There are six core capabilities needed in machine learning compute infrastructures to enable high-productivity artificial intelligence (AI) pipelines involving compute-intensive machine learning and deep neural network (DNN) models..."
"While 2018 was a big year for AI, the stage is set for it to make an even deeper impact in 2019....
Without question, 2018 was a big year for artificial intelligence (AI) as it pushed even further into the mainstream, successfully automating more functionality than ever before. Companies are increasingly exploring applications for AI, and the general public has grown accustomed to interacting with the technology on a daily basis..."
"A pragmatic, risk-based approach can help CISOs plan for an efficient, effective, and economically sound implementation of AI for cybersecurity.
Artificial intelligence (AI) could contribute up to $15.7 trillion to the global economy by 2030, according to PwC. That's the good news. Meanwhile, Forrester has warned that cybercriminals can weaponize and exploit AI to attack businesses. And we've all seen the worrisome headlines about how AI is going to take over our jobs. Toss in references to machine learning, artificial neural networks (ANN), and multilayer ANN (aka deep learning), and it's difficult to know what to think about AI and how CISOs can assess whether the emerging technology is right for their organizations..."
"How will AI reshape your career? Your health? Your ability to tell real from fake video? Recent TED talks explore some fascinating AI questions...
Artificial intelligence as a topic has long been a mix of both fascination and fantasy, the realm of both computer science and Hollywood movies. As AI and related sub-disciplines such as machine learning become a reality in our everyday lives, that fascination grows.
Now, though, we're increasingly focused on how AI will actually impact us, from its applications in enterprise IT to much broader effects on jobs and the global economy, healthcare, government, and more..."
"People have quickly realised that implementing AI isn't as easy as simply switching on a new tool...
It's no secret that the prominence of Artificial Intelligence (AI) in business has grown dramatically in recent years, so much so that it is now one of the key technology buzzwords around.It's no secret that the prominence of Artificial Intelligence (AI) in business has grown dramatically in recent years, so much so that it is now one of the key technology buzzwords around..."