Professional Services
Artificial Intelligence Poised to Accelerate China’s Annual Growth Rate from 6.3 percent to 7.9 percent by 2035, Finds New Research from Accenture
DALIAN, China--(BUSINESS WIRE)--New research from Accenture (NYSE:ACN) reveals that artificial intelligence (AI) could accelerate China's economic growth rate from 6.3 percent to 7.9 percent by 2035, by transforming the nature of work and opening new sources of value and growth. The report, titled "How Artificial Intelligence Can Drive China's Growth," explores new insights into AI and its impact on China's economy. Based on analysis and modeling by Accenture Research, in collaboration with Frontier Economics, there is dramatic impact on China's growth when AI is added as a completely new factor of production to the economic growth model. "China has already made great leaps in the development of AI and our research shows that it has the potential to be a powerful remedy for slowing growth," said Chuan Neo Chong, Accenture Greater China Chairwoman. "However, as with any catalyst, it is important to remember the challenges and the risk of unintended consequences. Stakeholders must prepare themselves intellectually, technologically, politically, ethically and socially for the promise of AI."
Artificial Intelligence Poised to Accelerate China's Annual Growth Rate from 6.3 percent to 7.9 percent by 2035, Finds New Research from Accenture
New research from Accenture (NYSE:ACN) reveals that artificial intelligence (AI) could accelerate China's economic growth rate from 6.3 percent to 7.9 percent by 2035, by transforming the nature of work and opening new sources of value and growth. This Smart News Release features multimedia. AI is poised to boost China's GVA by USD $7,111 billion by 2035 (Graphic: Business Wire) The report, titled "How Artificial Intelligence Can Drive China's Growth," explores new insights into AI and its impact on China's economy. Based on analysis and modeling by Accenture Research, in collaboration with Frontier Economics, there is dramatic impact on China's growth when AI is added as a completely new factor of production to the economic growth model. "China has already made great leaps in the development of AI and our research shows that it has the potential to be a powerful remedy for slowing growth," said Chuan Neo Chong, Accenture Greater China Chairwoman.
Cognitive Technologies
This collection explores the impact of cognitive technologies on organizations and helps leaders make wise strategy and technology choices. Because cognitive technologies extend the power of information technology to tasks traditionally performed by humans, they can enable organizations to break prevailing trade-offs between speed, cost, and quality.
Podcast: Machine Learning Trends – Part 2: Harnessing AI
Travis TompkinsTravis Tompkins, Deloitte Consulting, LLP – Senior Manager, SAP Analytics, helps lead Deloitte's SAP Analytics Practice. He has nearly 25 years of experience with business analytics and has supported finance transformation, sales forecasting, and supply chain optimization efforts. He uses a "measures that matter" approach to drive disruptive change through analytic insights. Within the SAP space, he provides thought leadership on ECC, S4, BW on HANA, native HANA modeling, data integration, predictive / prescriptive modeling, and cognitive decision making. Currently, Travis is working with Fortune 100 Pharmaceuticals clients who are looking to innovate and optimize while still addressing pre- and post-merger restructuring of systems, organizations, and processes.
PwC predicts robo-economist could make firm most accurate forecaster on market - BelfastTelegraph.co.uk
PwC is on the cusp of launching a robo-economist that could make the company the "most accurate" economic forecaster on the market. The professional services firm has developed a form of artificial intelligence (AI) with a 92% strike rate when it comes to predicting the result of UK gross domestic product (GDP). It discovered the AI's "incredible accuracy" after testing to see if the machine could pinpoint historic GDP results without knowing the outcome. But while Jonathan Gillham, PwC's director of economics, joked that the AI had already started to supersede his job, the firm said there were no plans to replace staff with automation and the program would work alongside human economists. He said: " We have been using an AI technique to forecast the UK economy and we will be launching that (...) in July. "Each quarter, the Office for National Statistics publishes its estimate for GDP and we have been able to use an AI technology base to get that right 92% of the time for the last five years.
Artificial Intelligence in Enterprise - Robo-Management Consulting is a Reality
Much of the recent AI revolution has been focused on automation through big data and/or sensors and feedback into neural networks. The resulting applications are highly valuable to businesses and consumers. They improve quality of life by optimizing labor and resources. However, these applications fall short when it comes to handling human reasoning. Much of the rationale behind the operation of these systems are implicitly embedded in the data.
Smartphones the next big machine learning platform, Deloitte says
Usually machine learning is discussed in terms of its impact on marketing or enterprise data, but its next frontier could be considerably more mobile, according to a research director with consulting firm Deloitte Touche Tohmatsu Ltd. In fact, in its annual technology, media, and telecommunications predictions for 2017, released this month, Deloitte's global arm has predicted that some 300 million smartphones – more than one fifth of all units sold – will incorporate machine learning, Duncan Stewart, director of technology, media, and telecommunications research for Deloitte Canada, tells ITBusiness.ca. The present numbers are being driven by smartphone chip manufacturer Qualcomm Inc.'s latest Snapdragon processors, Stewart notes, but Apple is rumoured to be developing a similar technology for their next iPhone too. "It's a boon for smartphone users," he says. "It means you get results faster, use less data, and can even complete certain tasks without being connected to a network."
Accenture Research: AI Boosts Industry Profits
AI strategy and leadership – attaining value from AI will demand recognition and action from the top of the company; therefore, the benefits must be made tangible to the C-suite and a roadmap is essential. Reinvent HR into HAIR – the Chief HR Officer's role will not only be about managing human employees, but will evolve to also manage human-machine interaction -- or Human AI Resources (HAIR). Learn with machines – to adapt their businesses to the changing nature of learning and employee training, business leaders must focus on the needs of their workforces, particularly in the area of agile skills development. Appoint a chief data supply chain officer – this position will be needed to construct an integrated, end-to-end data supply chain. Create an open AI culture – trust, openness and transparency are key for human and machine relationships to work well; business leaders must shape the corporate culture and guidelines to minimize the risks of a hybrid workforce while maximizing the opportunities.
Using Machine Intelligence to Mine Data
Organizations can employ machine intelligence to automate processes, mimic human cognition, and assess information more effectively--underscoring the importance of data as the new digital currency. Machine intelligence infuses computers with capabilities simulating human cognition, allowing for more sophisticated automation and data-mining techniques that can decipher patterns, uncover insights, and guide business decision-making. And the C-suite is taking note: Spending on various aspects of machine intelligence is projected to reach nearly $31.3 billion in 2019. "We now have the ability to script and automate through bots and robotic process automation the basic tasks knowledge workers have traditionally undertaken," says Nitin Mittal, Deloitte Consulting LLP's practice leader for analytics and information management. "This is leading to dramatic improvements in enterprise efficiency and productivity."
Artificial intelligence (AI) boosts industry profits and innovation Accenture
Accenture Research shapes trends and creates data-driven insights about the most pressing issues global organizations face. Combining the power of innovative research techniques with a deep understanding of our clients' industries, our team of 250 researchers and analysts spans 23 countries and publishes hundreds of reports, articles and points of view every year. Our thought-provoking research--supported by proprietary data and partnerships with leading organizations such as MIT and Singularity--guides our innovations and allows us to transform theories and fresh ideas into real-world solutions for our clients.