NEW YORK--(BUSINESS WIRE)--While the majority of organizations that use artificial intelligence (AI) are still experimenting with the technology, only 12% are using it at an AI maturity level that achieves a strong competitive advantage, according to new global research from Accenture (NYSE: ACN). "The Art of AI Maturity: Advancing from Practice to Performance" uncovers strategies for AI success through a holistic framework, which includes a new index to express company AI maturity on a 0-100 scale. According to the research, AI maturity is the degree to which organizations outperform their peers in a combination of AI-related foundational and differentiating capabilities. These capabilities include the technology -- data, AI, cloud -- as well as organizational strategy, Responsible AI, C-suite sponsorship, talent and culture. The research puts the median AI maturity of organizations at a moderate score of 36, revealing most companies have significant opportunities to generate greater value with AI.

A recent Accenture research on the state of machine learning (ML) in enterprises indicates 84% of C-suite executives believe they must leverage artificial intelligence (AI) to achieve their growth objectives, yet 76% report they struggle with how to scale. The key challenges in scaling ML in enterprises are availability of quality data and ability to explain ML outcomes; here we will discuss how Master Data Management (MDM) can help address these challenges. In 1959, Arthur Samuel defined machine learning as "... gives computers the ability to learn without being explicitly programmed". And how exactly is that achieved? At its core, machine learning is the application of statistical methods to uncover patterns in the training data and make predictions or decisions without being explicitly programmed.

Have you interacted with a digital persona yet? At the Museum of Art & Photography in Bangalore, you can have a deep and engaging exchange with one that represents the late artist M.F. Husain -- considered the "Picasso of India" by many. This avatar is eager to talk art. And if you ask him whether he's real, he will look straight at you and say, "As close to real, enough to impress you."

From faster and cheaper drug trials to fully "conscious" cities, digital replicas are changing the face and pace of innovation. This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. Last year the world held its breath as Notre Dame Cathedral stood shrouded in flames. After the fire was extinguished, and it was revealed that the iconic cathedral was not lost, the hard work of restoration began. Until very recently, that process would have begun with a search through dusty archival blueprints to guide the intricate repair works. But in the age of the digital twin, engineers and architects were able to consult a digital model of the French cathedral -- one far more detailed and interactive than any blueprint -- which allowed them to stay true to the original structure while also incorporating new innovations in design and materials.

NEW YORK; Aug. 21, 2019 – The semiconductor industry is the most bullish about adopting artificial intelligence (AI) and understanding the significant impact it will have on their industry, according to Accenture Semiconductor Technology Vision 2019, the annual report from Accenture (NYSE: ACN) that predicts key technology trends likely to redefine business over the next three years. Three-quarters of semiconductor executives surveyed for the report (77%) said they have adopted AI within their business or are piloting the technology. In addition, nearly two-thirds of semiconductor executives (63%) expect that AI will have the greatest impact on their business over the next three years, compared with just 41% of executives across 20 industries. This ranks AI higher for chipmakers than other new disruptive technologies surveyed, including d istributed ledgers, extended reality and q uantum computing. AI, comprising technologies that range from machine learning to natural language processing, enables machines to sense, comprehend, act and learn in order to extend human capabilities.

Aerospace & Defense Industry to See Greatest Impact from Artificial Intelligence Compared to Other Key Emerging Technologies, Accenture Report Finds Study underscores the need for reskilling in the sector for future competitiveness NEW YORK; June 13, 2019 – The aerospace and defense (A&D) industry will be more affected by artificial intelligence (AI) than by any other major emerging technology over the next three years, according to Aerospace & Defense Technology Vision 2019, the annual report from Accenture (NYSE: ACN) that predicts key technology trends likely to redefine business. The study also underscores the growing importance of reskilling programs as a competitive lever. AI, comprising technologies that range from machine learning to natural language processing, enables machines to sense, comprehend, act and learn in order to extend human capabilities. One-third (33%) of A&D executives surveyed cited AI as the technology that will have the greatest impact on their organization over the next three years -- more than quantum computing, distributed ledger or extended reality. In fact, two-thirds (67%) of A&D executives said they have either adopted AI within their business or are piloting the technology.

Most employees are ready to do what they need to do. This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. The era of AI is upending work as we know it. And as companies start using intelligent technologies in earnest, many people who have been well-trained for their positions for a long time may suddenly find themselves in uncharted waters. The good news is that employees are ready to embrace the changes they see coming.

Artificial intelligence has the potential to transform customer experiences and establish entirely new business models in banking. To achieve the highest level of results, there needs to be a collaboration between humans and machines that will require training and a reassessment of the future of work in banking. Subscribe to The Financial Brand via email for FREE!There is little argument that digital technologies and artificial intelligence (AI) are transforming every industry, including banking. These changes are impacting the way back offices operate, how services are delivered, as well as the revenue and cost structure of banking. For most organizations, the desire to modernize with digital technology and AI is a balance between wanting to reduce costs/increase revenue and wanting to improve consumer satisfaction.

TORONTO, June 15, 2017 /CNW/ - New research released by Accenture (ACN) reveals that companies with optimal artificial intelligence (AI) innovation strategies generate greater shareholder value. But less than one fifth of leading companies that leverage AI have achieved this performance in recent years. These companies have demonstrated high'AIQ' by combining strong in-house innovation and external collaboration. Accenture's report "Boost Your AIQ: Transforming into an AI Business," published in collaboration with the G20 Young Entrepreneurs' Alliance, assesses both the Fortune Global 100 and Accenture's list of Intelligent 100 pioneers in the development and application of AI technologies, for the period of 2010 to 2016. In order to measure their Artificial Intelligence Quotient (AIQ), the research analyzes the level of both their in-house capabilities and investments in AI as well as their commitment to partnering with outside partners.

"AI could boost average profitability rates by 38% and lead to an economic increase of $14 trillion by 2035." The future of business is increasingly based on anywhere, anytime, any device/person connectivity. While the phenomenon called "digital transformation" (DT) is being driven by technology, it really comes down to innovation, says Juniper Networks CEO Rami Rahim. "Secure networks are a critical element in helping companies innovate faster, and with boldness." AI and machine learning (ML) are playing a greater role in ensuring secure innovation.