In the age of digital transformation, an increasing number of organizations are looking to tap artificial intelligence (AI) technologies to streamline day-to-day operations and revolutionize their business models. Last week, the consulting firm, Deloitte, released its third annual "State of AI in the Enterprise." The report gives a detailed look at the ways in which organizations are utilizing AI and provides insights into concerns shaping enterprise adoption moving forward. The Deloitte survey offers a detailed overview of AI adoption across the integration spectrum. To better understand attitudes alongside adoption, enterprises are divided into three smaller subsects--seasoned adopters, skilled adopters, and starters.

Now is a particularly opportune time to drive towards this goal. As the world moves towards a COVID-19 post-pandemic recovery, the UN has called on governments to heed the "unprecedented wake-up call" and "build back better" by creating more sustainable, resilient and inclusive societies. There are two approaches to Green AI – using AI to solve sustainability challenges and using AI in a more sustainable way. How can AI solve sustainability challenges? Delivering societal and environmental well-being through AI are key strategic considerations of the European Commission, who acknowledge that "AI systems promise to help [tackle] the most pressing concerns, including climate change and environmental degradation".

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.

Companies increasingly rely on artificial intelligence to automate crucial tasks. Machines with brains work alongside humans in warehouses, make recommendations about who should get credit, triage patients seeking care, and analyze dizzying quantities of financial data. Lately, corporate boards have begun to worry about the ethical ramifications of turning so much power over to the machines. A study of 2,737 executives released this month by consulting firm Deloitte found that a majority of those who used AI in their business reported "major" or "extreme" concerns about ethical risks. "Even 18 months ago, ethics was not as much a part of the conversation as it is today," said Beena Ammanath, who leads the AI Institute at Deloitte.

Are your industry peers getting ahead of you with their artificial intelligence or other advanced analytics programs? The year 2020 has certainly been full of turmoil that may have pushed some priorities to the back burner temporarily. But as you are getting back to the new normal, evaluating plans for the rest of 2020, and looking ahead to 2021, you may be looking at that AI program and how your organization will use it to innovate and gain competitive advantage in the future. Just in time for getting back to that new normal, consulting firm Deloitte has issued its third annual State of AI in the Enterprise report. At a high level, most organizations fall into one of three groups, according to Beena Ammanath, executive director of the new Deloitte AI Institute, which the consulting company launched in June.

Where do you stack up against your competitors when it comes to your AI initiative? Deloitte has released its 2020 State of AI in the Enterprise report which found only 47% say that they have a high level of skill around selecting AI technologies and suppliers. Deloitte's third edition of the "State of AI in the Enterprise" survey, conducted between Oct. and Dec. 2019, finds businesses are entering a new chapter in AI implementation where early adopters may have to work harder to preserve an edge over their industry peers. The study shows that companies at the top will be those that utilize AI to pursue creative and novel applications, actively address inherent AI risks and -- as more organizations buy AI-powered capabilities -- become smarter consumers of AI technology. "Seasoned" adopters are the example to follow as the global survey of 2,737 information technology and line-of-business executives finds this category has undertaken many AI production deployments.

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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.

Posted by Gina Schaefer, Ryan Sanders, on July 16, 2020. While the idea of machines "taking over the world" makes for compelling science fiction, businesses are discovering that the most powerful use cases for intelligent automation (IA) involve people and machines working together as a team. Of course, managing a mixed workforce of human workers and "digital workers" presents its own unique challenges. Here's a look at the critical challenges--and how to address them. Helping human workers embrace intelligent automation, not fear it Intelligent automation has turned the corner from science fiction to business reality and is quickly becoming an essential capability for companies across industries.

Airbus SE is using artificial intelligence to squeeze cost out of its finance function, an experiment launched in the aircraft maker's Americas division that could save the corporation millions of dollars annually if rolled out in other regions. It's one of the latest examples of how companies across sectors are digitizing operations to increase efficiency, reduce human error and free up employees for tasks that require more human judgment, such as strategic planning, analysis and audits. "Companies can now automate highly repetitive activity at a lower cost with a higher degree of accuracy," said David Axson, head of the CFO consulting practice at Accenture Strategy, a unit of consulting firm Accenture PLC. "This especially applies to high-volume-use cases like accounts payable." Less than half of companies' accounts-payable activity worldwide is currently automated, Accenture Strategy says.