For the third straight year, Deloitte surveyed executives about their companies' sentiments and practices regarding AI technologies. We were particularly interested in understanding what it will take to stay ahead of the pack as AI adoption grows--and we wanted to learn how adopters are managing risk around the technologies as AI governance, trust, and ethics become more of a boardroom issue. Get the Deloitte Insights app. Adopters continue to have confidence in AI technologies' ability to drive value and advantage. We see increasing levels of AI technology implementation and financial investment. Adopters say they are realizing competitive advantage and expect AI-powered transformation to happen for both their organization and industry. Early-mover advantage may fade soon. As adoption becomes ubiquitous, AI-powered organizations may have to work harder to maintain an edge over their industry peers.
New Delhi: Global professional services company Accenture on Saturday announced to elevate Sanjeev Vohra as global lead of its Applied Intelligence business that helps customers use data, Artificial Intelligence (AI), analytics and automation to fuel business transformation. Vohra who is currently Accenture's growth and strategy lead for technology, would also join the company's Global Management Committee (GMC), it said in a statement. "We will count on his exceptional business acumen, leadership, and innovation-led mindset to drive our Applied Intelligence business and help our clients discover new ways to harness the power of data and insight to fuel their transformation and growth," said Annette Rippert, Group Chief Executive, Accenture Strategy & Consulting. Vohra who joined Accenture in 2002 would oversee a global Applied Intelligence workforce of 40,000, with deep industry expertise and skills in areas including AI, data science, deep learning, machine learning and data engineering. Applied Intelligence is Accenture's approach to scaling AI-powered data, analytics and automation capabilities for clients.
As businesses use artificial intelligence to respond to the pandemic, 2020 marks the start of a mainstream AI adoption era in the enterprise. The technology, in physical and digital form, will couple with human teams to elevate their efficiency, while AI will touch practically every software platform involved in daily work. This is the reality portrayed in Deloitte's State of AI in the Enterprise report, a global survey of 2,700 IT and line of business executives released Tuesday. Three-quarters of AI-adopters expect the technology will be integrated into all enterprise applications in the next three years. For 73% of respondents, deployment of AI within their technology ecosystem is currently "very" or "critically" important to their business.
From startups to enterprises racing to get new products launched, AI and machine learning (ML) are making solid contributions to accelerating new product development. There are 15,400 job positions for DevOps and product development engineers with AI and machine learning today on Indeed, LinkedIn and Monster combined. Capgemini predicts the size of the connected products market will range between $519B to $685B this year with AI and ML-enabled services revenue models becoming commonplace. Rapid advances in AI-based apps, products and services will also force the consolidation of the IoT platform market. The IoT platform providers concentrating on business challenges in vertical markets stand the best chance of surviving the coming IoT platform shakeout.
GlobalData research has found the top artificial intelligence (AI) influencers based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in artificial intelligence on Twitter during May 2020. Ronald van Loon is a recognised thought leader in technologies including AI, big data, IoT, machine learning, deep learning, 5G, predictive analytics, cloud, edge and data science. He currently serves as principal analyst and CEO of the Intelligent World, an influencer network that connects experts, businesses, and influencers to new audiences, helping them collaborate, create and share diverse content. Loon is of the opinion that AI has progressed at a furious pace over the past few years, and though it has usurped large chunks of the big data, the technology is nowhere near human intelligence.
The commercialization of AI is playing a positive role in accelerating business digitalization, improving industry chain structures and enhancing information use efficiency. AI has entered an age of machine learning, and the future of AI development will depend on the integration of key technologies and industries. AI investment is returning to reason, with underlying technologies and easy-to-deploy applications more favored by AI leading institutions. The Internet giant has also begun to strategically deploy in the artificial intelligence business related industry. As a new industry in the future, AI enterprises show the characteristics of high growth rate.
Artificial intelligence (AI) is redefining the enterprise's notions about extracting insight from data. Indeed, the vast majority of technology executives (91 percent) and 84 percent of the general public believe that AI is the "next technology revolution," according to Edelman's 2019 Artificial Intelligence (AI) Survey. PwC has predicted that AI could contribute $15.7 trillion to the global economy by 2030. AI, in short, is a pretty big deal. However, it's not a monolithic entity: There are multiple flavors of cognitive capabilities.
If you are a major manufacturer in 2020 and you have employed the likes of Deloitte, McKinsey or PWC, it is safe to assume that they have advised you to invest big in artificial intelligence and machine learning. According to reports by Deloitte and McKinsey, machine learning improves product quality and has the potential to double cash flow. Let's take a look at three global manufacturers who are already on board. SEE ALSO: Introduction to machine learning in Node.js Siemens is the largest industrial manufacturer in Europe, and whether they are putting together planes, trains or automobiles, their goal is to solve production challenges efficiently and sustainably.
Artificial Intelligence (AI) also known as machine learning has come a long way in the recent few years. Instead of being a subject of discussion, it has become a reality. There has been ready integration of AI across a large number of industries. This has given rise to several AI development companies across the world. These AI consulting firms offer services to their clients and help with the integration of AI in their operations.