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) …
Dan Peate, a venture capitalist and entrepreneur in Southern California, was thinking of buying a Tesla Model X a few years ago--until he called his insurance company and found out how much his premiums would rise. "They quoted me $10,000 a year," Peate recalled. For all the concern over accidents involving driverless cars, including Tesla's troubles with its limited self-driving Autopilot mode, it's easy to forget one of the supposed virtues of autonomous vehicles: They will make the roads safer. A sophisticated array of lidar, radar and cameras is expected to be more adept at detecting trouble than our mortal eyes and ears. And computers never get drunk, check Tinder or fall asleep at the wheel.
No matter where we turn, we're never far from the reality of how artificial intelligence (AI) is impacting our daily lives. Whether it's asking Alexa to give today's news headlines, or our thermostats knowing more about our whereabouts and travel plans than we do, it's clear that AI will fundamentally change our world in ways that we may not yet fully anticipate. Which is why it's not surprising that AI is one of the most common topics we've been discussing with our life sciences clients. They're looking for insights into how to apply AI in their businesses--when and where they should invest, what they need to do to prepare, and how to tell what is real and what is just marketing hype. The reality is that there are no simple answers, as AI is a constellation of capabilities with a broad range of maturity.
From hospital care to clinical research, drug development and insurance, AI applications are revolutionizing how the health sector works to reduce spending and improve patient outcomes. The total public and private sector investment in healthcare AI is stunning: All told, it is expected to reach $6.6 billion by 2021, according to some estimates. Even more staggering, Accenture predicts that the top AI applications may result in annual savings of $150 billion by 2026. These benefits will accrue incrementally, from automated operations, precision surgery, and preventive medical intervention (thanks to predictive diagnostics), but within a decade they will fundamentally reshape the healthcare landscape as we know it. "It's going to take years to get the full promise, but it does bring a particular tool into the dialogue that was never before available," says Kaveh Safavi, head of Accenture's global health practice.
Every business must become a digital business. In the era of multiple innovation, where businesses have shifted from exploring emerging technologies to implementations of disruptive technologies like mobile, social, cloud, artificial intelligence (AI), and Internet of Things (IoT), the digital playing field will eventually even out. According to the Accenture Technology Vision 2019 research report -- based on a survey of over 6,000 business and IT executives, companies will need to find their competitive edge in this new'post-digital' era. Also: What is AI? Everything you need to know The Accenture Technology Vision 2019 report was written by Paul Daugherty, Accenture's chief technology and innovation officer (CTIO) and leader of the company's Technology Innovation and Ecosystem group, Marc Carrel-Billiard, Accenture's global senior managing director of Accenture Labs, the company's dedicated R&D organization, and Michael Biltz, Managing Director of Accenture's annual Strategic Technology Visioning efforts. Daugherty is also the co-author of'Human Machine: Reimagining Work in the Age AI'.
"Graduates at IBM are coming into roles where you provide services to a range of different industries as opposed to just working in one," she says. "From a career perspective, they can move across different industries but they also move across different functions. You retain your core expertise but you also get to do different jobs because of the diversity of our clients." IBM works with dozens of Australia's biggest companies using Watson to drive machine learning and data analysis within business, and has the advantage of being able to supply whole teams of experts as challenges arise. In contrast, even big industry employers often have only a few specialists in key areas.
Welcome to the week in digital transformation. This week, a new report from Accenture has declared that the "post-digital era is upon us", but is its declaration premature? And are we really seeing the end of digital transformation? Plus, we look at how Air Malta's digital transformation efforts are giving it clout despite its small size, and how newly-founded voice company Rabbit & Pork hopes to transform FMCG. Yesterday, Accenture released its annual Tech Vision report, Tech Vision 2019, entitled, 'The post-digital era is upon us: Are you ready for what's next?'
Accenture Joins Forces with MIT Professional Education to Reinvent Their Quality Engineering Workforce Quality engineers are being trained to be catalysts for speed, agility and improved business performance NEW YORK; Jan. 29, 2019 – Accenture (NYSE: ACN) is collaborating with MIT Professional Education to launch a new training program aimed at training the company's quality engineers pivot from being software testers to catalysts for speed, agility and business performance. The program, 'Reinventing Quality Engineers in the New,' will train Accenture employees on real-time, insight-driven quality engineering approaches, augmented by artificial intelligence, analytics and autonomous frameworks--a vision outlined in a recent Accenture whitepaper. The jointly developed program provides Accenture engineers with opportunities to grow their skill set in ways that enhance both their own careers and Accenture's work with clients. Employees will learn how to effectively apply analytics and intelligent, model-based automation to software testing and engineering services, as well as advanced risk-based testing approaches that optimize cost and quality levels. The program consists of live virtual classroom sessions that include engagement with MIT professors, as well as self-study materials and opportunities to collaborate outside of the classroom through interactive online forums.
Accenture has announced plans to launch a new Applied Intelligence Studio for Mining in Johannesburg. The studio will apply the latest in data science and artificial intelligence technologies with new data sources for real-time co-creation of innovative digital solutions that can help mining companies solve some of their hardest analytical problems. It is expected to open in February 2019. "They are increasingly looking to apply advanced analytics to reimagine processes, unlock trapped value, and drive operational excellence in their businesses today and position themselves for growth tomorrow." "Volatile commodity prices, rising input costs and changing global demand for commodities require mining companies to rethink their strategies and business models to remain competitive," said Rachael Bartels, a senior managing director who leads Accenture's mining business globally.
Accenture launched SynOps, a business operating platform, to better orchestrate work, meld data science and operations and combine digital and human workforces. The firm calls SynOps a "human-machine operating engine," but the key concept is that Accenture aims to create a platform that reflects the integration of data, artificial intelligence and humans. Whether SynOps is a success remains to be seen, but Accenture has a few things in its corner. For starters, Accenture has pivoted to being a software provider too. Accenture also has the data from more than 1,000 client engagements to inform the SynOps approach to business processes and IT management.
A revolution is happening right before our eyes. It's groundbreaking, and yet its disruptive power is only fractionally visible. With each passing second and each bit of new data, computers are getting smarter and smarter. Ubiquitous and quiet, machine learning algorithms are watching us, gathering information about our preferences, lifestyle, and habits. Consciously or unconsciously, we feel the benefits of these algorithms while lazing on our couches, clicking away on insightful recommendations for which movies to watch, books to read, and products to buy.