If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
As enterprises look to deploy distributed ledgers, the industry's largest IT providers have launched blockchain-as-a-service (BaaS), offering a way to test the nascent technology without the cost or risk of deploying it in-house. The BaaS offerings could help companies who don't want to build out new infrastructure or try to find in-house developers, which are in hot demand. "The thing to be thinking about is that we're still in the early innings of this blockchain wave," said Bill Fearnley Jr., IDC's research director for Worldwide Blockchain Strategies. "There are very few people with multiple years of deep, hands-on experience." While heavily hyped, blockchain technology – which gained its initial notoriety from bitcoin cryptocurrency – has the potential to offer a new paradigm for the way information is shared; tech vendors and companies are rushing to figure out how they can use the distributed ledger technology to save time and admin costs.
AI World 2017 is coming up quick! Whether you're a dev looking to hone your knowledge on the latest in machine learning or a tech exec trying to stay up to date on industry trends, this conference has something for anyone tuned into the AI space. Going on from December 11-13th at the Boston Marriot Copley in Boston, Ma, AI World describes its mission as "to enable enterprise business and technology executives to learn how to successfully harness intelligent technologies to build competitive advantage, drive new business opportunities and accelerate innovation efforts." Below, I'll briefly dive into some of the highlights of the upcoming show, giving you a glimpse into the speaker line-up as well as the different learning tracks that AI World is offering. You can find the agenda which outlines the events & corresponding times here, or if you'd like more details, then download the brochure here.
According to a Cisco whitepaper examining the rapid expansion of the internet of things, there will be more than 50 billion internet-connected devices in the world by 2020, representing a hundred-fold increase since 2003. This proliferation of connected devices is making our everyday lives and work easier, but the convenience comes with a number of risks. Research from PwC indicates that the number of worldwide cybersecurity incidents rose by 38% in 2015, the largest increase in any of the 12 years the firm has conducted its Global State of Information Security Survey. Due in large part to the ever-increasing number of connected devices in the workplace, the average North American enterprise is inundated by alerts from its cybersecurity systems; 2014 research estimated the number at 10,000. The most active enterprise networks often receive an astounding 150,000 alerts per day.
Among the vast business applications of artificial intelligence, Slator has been keeping a close eye on neural machine translation (MT). However, the boundaries between MT and broader tech like natural language processing (NLP) are sometimes fuzzy. The services resulting from these technologies are often adjacent: translation on one side and chatbots on another. In fact, some companies combine them into a single service--multilingual chatbots, for instance. This is why a recent slew of significant funding rounds in the NLP space has caught our attention.
IBM announced new software to deliver faster time to insight for high performance data analytics (HPDA) workloads, such as Spark, Tensor Flow and Caffé, for AI, Machine Learning and Deep Learning. Based on the same software, which will be deployed for the Department of Energy's CORAL Supercomputer Project at both Oak Ridge and Lawrence Livermore, IBM will enable new solutions for any enterprise running HPDA workloads. New to this launch is Deep Learning Impact (DLI), a set of software tools to help users develop AI models with the leading open source deep learning frameworks, like TensorFlow and Caffe. The DLI tools are complementary to the PowerAI deep learning enterprise software distribution already available from IBM. Also new is web access and simplified user interfaces for IBM Spectrum LSF Suites, combining a powerful workload management platform with the flexibility of remote access.
Artificial intelligence is an important vehicle for companies looking to automate processes, reduce the cost of operation, or fuel innovation. Despite the positive influence AI-supported activities have on business, a successful implementation won't happen overnight. First you need a complete understanding of your business goals, technology needs, and the impact AI will have on customers and employees. The majority of employees face challenges or concerns relating to AI adoption, and that needs addressing. The implication of successful AI adoption is far reaching for businesses undertaking full-cycle digital transformation, which places equal emphasis on automation, innovation, and learning.
The high barrier to entry prevents many companies from tapping into the full potential of machine learning. But what if you could make it more accessible? We're in the midst of a data explosion, with today's enterprises amassing goldmines of information (25 quintillion bytes of data every day, according to some reports). But what exactly are they doing with this data? Considering the volume of data being collected is quickly becoming unmanageable, now is a good time to shift from manual machine learning to a cognitive approach.
The Government of Karnataka has launched a Centre of Excellence for data science and Artificial Intelligence (CoE-DS&AI) in collaboration with NASSCOM. To be established with around Rs 40 crore, the CoE will be its first-of-its-kind port based on a public-private partnership model, and will accelerate the ecosystem in Karnataka by providing the impetus for the development of data science and artificial intelligence across the country. NASSCOM will work towards accelerating innovation, enabling industry-oriented research, promoting adoption of data-driven decision making by enterprises and enabling appropriate skills & talent development. The Centre of Excellence will provide high-end technology capabilities, data, expertise, thought leadership, and curated programs to augment capabilities across academia, enterprises, government, and innovators or advanced start-ups. Priyank Kharge, Minister for IT, BT & Tourism, Government of Karnataka, said, "Karnataka has led the IT revolution in India and has always been at the forefront in areas of science and information technology.
Singapore enterprises are slower than their counterparts in Asia-Pacific, North America and Europe in adopting machine leaning, despite seeing the importance of automation in handling menial, repetitive tasks, according to a study released today. Only 32 per cent of Singapore chief information officers (CIOs) interviewed say their organisations are already using machine learning in some part of their businesses. This compares with 59 per cent in Australia and New Zealand (49 per cent), in a survey commissioned by enterprise software vendor ServiceNow. In telephone interviews this year, it had asked 500 CIOs in 10 countries for their views on machine learning and automation. They included the United States, France and Britain.
On November 23, 2017 in Toronto, The IT Media Group will host a CIO Master Series roundtable, "Smart Strategies for Leveraging AI". With everyone talking about Artificial Intelligence (AI), you could be forgiven for thinking you are being left behind in the rush to deploy it. In fact, for most organizations, enterprise AI is only just on the radar as people try to get their heads around how to integrate it into their business processes. However, it's clear that making AI central to the business is fast becoming a priority, and those who have not begun to plan for AI need to start, or risk missing the transition. In this session, we'll explore what AI can actually do and how it may intersect with your business needs.