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Artificial Intelligence in Accounting Market Size Analysis, Current Status and Forecast 2022-2028 : IBM, Google, Deloitte - Digital Journal

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New Jersey, NJ -- (SBWIRE) -- 06/24/2022 -- Latest survey on Artificial Intelligence in Accounting Market is conducted to provide hidden gems performance analysis of Artificial Intelligence in Accounting to better demonstrate competitive environment . The study is a mix of quantitative market stats and qualitative analytical information to uncover market size revenue breakdown by key business segments and end use applications. The report bridges the historical data from 2016 to 2021 and forecasted till 2028*, the outbreak of latest scenario in Artificial Intelligence in Accounting market have made companies uncertain about their future outlook as the disturbance in value chain have made serious economic slump. Some are the key & emerging players that are part of coverage and profiled in the study are Microsoft (US), AWS (US), Xero (New Zealand), Intuit (US), Sage (England), OSP (US), UiPath (US), Kore.ai (US), AppZen (US), YayPay (US), IBM (US), Google (US), EY (UK), Deloitte (US), PwC (UK), KPMG (Netherlands), SMACC (Germany), OneUp (US), Vic.ai (US), Hyper Anna (Australia), Botkeeper (US) & MindBridge Analytics (Canada). If you are part of the Artificial Intelligence in Accounting industry or intend to be, then study would provide you comprehensive outlook.


Deloitte to offer Fellowships for IIT Roorkee Students in AI, Advanced Analytics

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Global audit, consulting, risk management, and financial advisory services provider Deloitte has partnered with the Indian Institute of Technology (IIT) Roorkee to offer its students fellowships in artificial intelligence (AI) and advanced analytics. This new strategic partnership between the two institutions will considerably help IIT Roorkee students gain a better industry experience through work-study programs. The artificial intelligence and machine learning (ML) immersion fellowship programs are specifically developed to build the future generation workforce. Prof. Ajit K. Chaturvedi, Director, IIT Roorkee, said, "The coming together of IIT Roorkee and Deloitte will create new opportunities for both of us. In fact, this partnership has the potential to strengthen the AI roadmap of India."


How to leverage the artificial intelligence solar system

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Despite the excitement around artificial intelligence, only about one-third of companies say they are doing it, although many more are thinking about it. For success, AI must be approached specifically and strategically, as part of the technology universe, say Deloitte’s Anthony Ciarlo and Frank Farrell.



Top 10 Companies Paying a Fortune for Deep Learning Engineer

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Deep learning engineers are essential, experts in Machine learning and Deep learning. They use DL platforms and libraries to perform specific tasks included within a larger AI framework. An AI project goes through a cycle of 5 different stages viz. Deep engineers carry out data engineering, modelling and deployment tasks. Their defining expertise lies in training deep learning models with proper evaluation metrics.


Manufacturing AI with Computer Vision

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The digital transformation in manufacturing is accelerating. This means that companies that make things must move faster to innovate their products and transform the way those products are delivered from design to procurement to manufacturing to sustainment. They don't have to go at it alone. A 2020 Deloitte and MAPI Study finds ecosystems can create a competitive edge for manufacturers facing ongoing disruption.1 Today, we'll dive into a component of this ecosystem, Computer Vision. Computer Vision is one of the many Artificial Intelligence solutions that will continue to transform manufacturing.


How to Implement Artificial Intelligence in Your Business So That Your AI Investment Pays off

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In the 21st century, artificial intelligence for business is like the invention of electricity over a century ago. Nowadays, AI technologies are also revolutionizing the work of all sectors of the economy. The main thing is to properly implement AI in your business. Hundreds of businesses have failed, spending millions of dollars in the pursuit of innovation. Meanwhile, it is worth starting small to achieve great things.


Four Practices Your Organization May Need to Lead Its AI Transformation - SPONSOR CONTENT FROM DELOITTE

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Even as the pandemic has accelerated transformation in many aspects of business, artificial intelligence (AI) has advanced over the past two years with notable speed. As more leaders recognize and rely on AI's utility in uncovering and scaling data-driven insights and freeing their workforce to solve problems with creativity, they increasingly see AI technologies and processes creating value for employees, partners, and customers. Though we are still in the early days of AI transformation, organizations are rapidly developing and scaling their capabilities. A survey of 2,875 executives for Deloitte's most recent State of AI in the Enterprise report found that market-leading AI-driven organizations primarily focus on leading practices in four key areas: Regardless of an organization's commitment to AI adoption or its degree of success in implementing and scaling AI for strong outcomes, each area should be explored closely. Organizations with an enterprise-wide AI strategy and leaders who communicate a bold vision were nearly twice as likely to achieve high outcomes among those surveyed than those without them.


Finding High Value AI Use Cases

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Supply chain data and manufacturing data helped many industrial organizations achieve what had been the pinnacle of success -- lean manufacturing or just-in-time manufacturing. You order just the right amounts of raw materials to make the number of your products that are being ordered, and you keep very little inventory on hand. The model worked well in the predictable world and kept production costs down and maximized efficiency. But like so many other things, the pandemic broke all that. The data that went into the system provided a retrospective of what the world used to be like, but not anything that could predict future demand.


Trustworthy AI: How to ensure trust and ethics in AI

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Did you miss a session at the Data Summit? A pragmatic and direct approach to ethics and trust in artificial intelligence (AI) -- who would not want that? This is how Beena Ammanath describes her new book, Trustworthy AI. Ammanath is the executive director of the Global Deloitte AI Institute. She has had stints at GE, HPE and Bank of America, in roles such as vice president of data science and innovation, CTO of artificial intelligence and lead of data and analytics.