Organizations that successfully apply AI innovate and compete more effectively. Those who fail to implement AI successfully will fall behind. The AI Conference in New York will give you a solid understanding of the the latest breakthroughs and best practices in AI for business. You'll get insider information on any aspect of AI you may be working on including: You'll discover how the world's most innovative companies are using AI--and how to implement their successes in your products and enterprise. And you'll meet some of the most interesting people in AI: Xerox PARC CEO Tolga Kurtoglu, Intuit CDO Ashok Srivastava, Princeton Professor Olga Russakovsky, Deloitte Chief Data Scientist James Guszcza, FICO Chief Analytics Officer Scott Zoldi, Emma Kinnucan of Booz Allen Hamilton, and more.

There is not one but many definitions of Artificial Intelligence (AI), and its scope remains fluid and evolving. Some people even state that AI is everything that has not yet been done, referring to the observation that as the tools we use daily become increasingly sophisticated, tasks previously considered as requiring'intelligence' are now considered routine and get excluded from the AI definition. Think for example of a good spam filter, spell check or optical character recognition, all of which used to be considered revolutionary, but today don't impress people anymore. 'A constellation of technologies that extend human capabilities by sensing, comprehending, acting and learning – allowing people to do much more.' In other words, we put the focus on the ability of AI to complement and empower people instead of replace them. Therein lies the key: If you only look at AI from the perspective of a technology that'can do it all', it will fail and create problems within organizations and society.

To realise data's full potential, Deloitte Data Analytics is demystifying data science through impactful initiatives. In February 2018, the Deloitte School of Analytics will host its three-day annual education event, where they break down this data phenomenon and help clients use data science to drive their organisation forward. The annual education event is a three-day training programme that focuses on enhancing Analytics capabilities across Africa. Deloitte Analytics SMEs and TDWI lecturers will be engaging with the delegates through hands on and classroom based training, structured case study discussions, presentations and practical examples. The education journey will include modules such as Practical Application of Machine Learning and Artificial Intelligence, Data Architecting for the Future and Demystifying Data Science.

Accenture Uses Artificial Intelligence to Help the Elderly Better Navigate Their Care and Improve Their Well-Being LAS VEGAS and LONDON; Nov. 28, 2017 – Accenture (NYSE: ACN) has completed a pilot program that uses artificial intelligence (AI) and the ease of voice to help older people manage the daunting challenges of navigating their care delivery and well-being. The Accenture Liquid Studio in London developed an AI-powered platform (the Accenture Platform) that can learn user behaviors and preferences and suggest activities to support the overall physical and mental health of individuals ages 70 and older. The Accenture platform, which runs on the Amazon Web Services (AWS) cloud, includes a'Family and Carer' portal that lets family and caregivers check on the individual's daily activities, such as whether they have taken their medication or made new requests for caregivers. The Accenture platform can also spot abnormalities in behavior and alert family or friends, based on user defined permissions. Elder Care Pilot: Accenture Uses AI to Help Navigate Elder Care Other services provided by the Accenture platform helped participants find local events as well as potential new friends, encouraging them to become more active and social.

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For those not native to the programming world, it can get pretty confusing knowing which terms means what when it comes to artificial intelligence (in other words, which one to use in a meeting to sound like you know what you're talking about). Machine learning is probably the term that most of us think of when we imagine artificial intelligence, whether we realise it or not. It isn't the same as AI, though the terms are often used interchangeably, and really just refers to a certain way in which a machine can use large amounts of data to do things we think of as smart. A basic computer program's intelligence comes from the programmer who wrote the instructions. It is simply code that a computer runs from start to finish.

"You can't get good insights from bad data, and AI is playing an instrumental role in the data preparation renaissance."–Narendra I have interviewed Narendra Mulani, chief analytics officer, Accenture Analytics. What is the role of Artificial Intelligence in analytics? Narendra Mulani: Artificial Intelligence will be the single greatest change driver of our age. Combined with analytics, it's redefining what's possible by unlocking new value from data, changing the way we interact with each other and technology, and improving the way we make decisions.

Companies across industries are experimenting with and using machine learning, but the actual adoption rates are lower than it might be seem. According to a 2017 SAP Digital Transformation Study, fewer than 10% of 3,100 executives from small, medium and large companies said their organizations were investing in machine learning. That will change dramatically in the coming years, according to a new Deloitte report, because researchers and vendors are making progress in five key areas that may make machine learning more practical for businesses of all sizes. There is a lot of debate about whether data scientists will or won't be automated out of a job. It turns out that machines are far better at doing rote tasks faster and more reliably than humans, such as data wrangling.

You can't understand AI until you know the categories: robotic process automation, cognitive augmentation and cognitive automation.

Advances in AI and automation has been making the mainstream news as of late. It's not just Filipinos or Mexicans taking white people's jobs, our robot overlords are taking over the playing field too. I mean, the former is a joke but the latter is true. AI and automation will soon actually displace many people in the workforce. Think of it like when the first automobile was invented.