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It can be a full-time job keeping track of all the latest advances in artificial intelligence (AI). But as a business leader, the more important point is learning how new developments are about to transform the competitive landscape in your industry. As we've done for each of the last five years, we can help you determine what's most relevant with our annual AI predictions. Based on our work helping Fortune 1000 companies, as well as our collaboration with academic researchers and global institutions, we've identified what we believe are the six most important AI trends for business in 2022. Ranging from new methods to measure and increase return on investment (ROI) to new uses in the "metaverse," companies that capitalize on these trends can grow their bottom lines and fulfill their broader corporate purpose. If you use them well, they can be part of your foundation for sustainable, long-term growth.

Pune, Dec. 20, 2021 (GLOBE NEWSWIRE) -- Global Artificial Intelligence Consulting Service Market research report study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Artificial Intelligence Consulting Service Market Research Report identifies various key manufacturers of the market. It helps the reader understand the strategies and collaborations that players are focusing on combatting competition in the market. The researchers used advanced primary and secondary research methodologies and tools for preparing this report on the Artificial Intelligence Consulting Service market. In 2021, the global Artificial Intelligence Consulting Service market size will be USD million and it is expected to reach USD million by the end of 2027, with a CAGR of % during 2021-2027.

When working with their clients Accenture under Tricarico's guidance focuses on "on guiding (their) clients to more safely scale their use of AI, and build a culture of confidence within their organizations." Not all companies have an established north star of AI use. Companies and partners like Accenture are vital to these companies and their proper and ethical use of the technology.

Most business executives believe they need to harness artificial intelligence (AI) to stay ahead of the pack and grow their business, but they often fail to scale up their AI initiatives across their organisations, according to an Accenture expert. Citing a global study by Accenture, Lee Joon Seong, managing director for applied intelligence in ASEAN at the consulting firm, noted that while 88% of global executives believed they needed AI for their business to survive, the same proportion also struggled to scale AI initiatives beyond the pilot stage.

Most business executives believe they need to harness artificial intelligence (AI) to stay ahead of the pack and grow their business, but they often fail to scale up their AI initiatives across their organisations, according to an Accenture expert. Citing a global study by Accenture, Lee Joon Seong, managing director for applied intelligence in ASEAN at the consulting firm, noted that while 88% of global executives believed they needed AI for their business to survive, the same proportion also struggled to scale AI initiatives beyond the pilot stage. "A lot of people understand the potential of AI and have embarked on AI initiatives, but not many have fully realised their full potential," said Lee. The ability to scale is seen as a barometer of success in AI adoption, given the time, talent and resources involved in AI projects. Here's what organisations can do to scale up their AI initiatives: Earmarking AI as part of your business strategy sounds obvious, but many organisations still struggle to get that right.

The world's largest and fastest-growing companies such as Accenture, Adobe, DocuSign, and Salesforce rely on Demandbase to drive their Account-Based Marketing strategy and maximize their B2B marketing performance. We pioneered the ABM category nearly a decade ago, and today we lead the category as an indispensable part of the B2B MarTech stack. Our achievements and innovation would not be possible without the driven and collaborative teams here at Demandbase. As a company, we're as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us, and have continuously been recognized as one of the best places to work in the Bay Area.

So far, artificial intelligence (AI) is a new enough technology in the business world that it's mostly evaded the long arm of regulatory agencies and standards. But with mounting concerns over privacy and other sensitive areas, that grace period is about to end, according to predictions released on Wednesday by consulting firm Deloitte. Looking at the overall AI landscape, including machine learning, deep learning and neural networks, Deloitte said it believes that next year will pave the way for greater discussions about regulating these popular but sometimes problematic technologies. These discussions will trigger enforced regulations in 2023 and beyond, the firm said. Fears have arisen over AI in a few areas.

If much of the conversation about artificial intelligence in the past few years has focused on the threat it poses to employment, there has been another conversation going on that looks at it more positively. Beyond the immediate impact of AI on human resources, that conversation goes, is a workplace that is driven by the combination of human intelligence and artificial intelligence. Those companies that deploy AI mainly to displace employees will only see short-term productivity gains, argue Accenture's Paul R. Daugherty, chief technology officer and group chief executive, and H. James Wilson, managing director of information technology for the professional services firm, in an article in the Harvard Business Review based on their 2018 book "Human Machine: Reimagining Work in the Age of AI." Instead, they said, the technology's larger impact will be in complementing and augmenting human capabilities. Their research for the book, which looked at 1,500 companies, found that firms achieve the most significant performance improvements when humans and machines work together. Since the book was published, the only thing that has changed is the number organizations that are now using AI.

Successful digital transformation requires many things. Among them, automation for speed and efficiency, but also better customer, partner, and employee experiences whether that's answering questions faster, automating document review or ensuring that customers' bank accounts are safe. Traditionally, automation was achieved through manual scripting, but more modernly there are visual low-code or no-code tools that help democratize the creation of an automated task. Intelligent automation uses AI to go beyond what's possible with deterministically programmed if-then-else systems. Bear in mind, the inclusion of AI is not necessary or even appropriate for all use cases.