Accenture on Monday announced that it's acquiring German engineering consulting firm umlaut. The services and consultancy company said the purchase will expand its engineering capabilities in the areas of cloud, AI and 5G. Financial terms of the deal were not disclosed. Umlaut's technology expertise span traditional and digital engineering services, including testing and validation of smart connected products, strategy and organizational consulting, hardware product development and software development. More than 4,200 engineers and consultants from umlaut will join Accenture's Industry X services group, which aims to combine Accenture's data and digital knowhow with engineering digitization services.
Organizations that contributed to the report include representatives from arXiv, AI Ethics Lab, Black in AI, Bloomberg Government, Burning Glass Technologies, Computing Research Association, Elsevier, Intento, International Federation of Robotics, Joint Research Center, European Commission, LinkedIn, Liquidnet, McKinsey Global Institute, Microsoft Academic Graph, National Institute of Standards and Technology, Nesta, NetBase Quid, PostEra, Queer in AI, State of AI Report, Women in Machine Learning, and many individual contributors. Supporting partners to the report include McKinsey & Company, Google, OpenAI, Genpact, AI21 labs, and PricewaterhouseCoopers.
Business leaders at every level see the value of using artificial intelligence, but using AI well is where the true value lies. Here, lessons from the leading edge can be a guide. According to a recent Deloitte survey, 82 percent of early adopters of AI are seeing positive financial results from their investment in cognitive technologies, with a median return on investment of 17 percent. Whether it is driven by technology or by business need, says Nitin Mittal, principal for the analytics and cognitive offering at Deloitte Consulting. Organizations looking to make the most of AI take heed: "Focus on specific use cases that could lend themselves to AI. Focus on business objectives that need to be achieved, prove the value, and scale up. That's where we see a lot of success," Mittal says.
The analytical capabilities of machine learning (ML) combined with the scalability of cloud computing provide a powerful duo to achieve truly transformational changes. Currently estimated to be between $2 and 5 billion, the cloud ML market has the potential to reach $13 billion by 2025.1 This projected exponential growth is a testament to the growing confidence among executives in cloud-based ML technology to further accelerate their AI programs. Based on our analysis of Deloitte's State of AI in the Enterprise, 3rd Edition survey, published July 2020, organizations that are already implementing a cloud ML approach are more likely to recognize the potential of AI technologies to transform their organization and industry. In our recent article, "Time, technology, talent: The three-pronged promise of cloud ML," we uncovered three key findings: These cloud ML adopters are defined as respondents who stated their organization is using cloud-enabled AI along with cloud-enabled ML platforms or tools.
GlobalData has identified ten of the biggest influencers in AI on Twitter during Q3 2019, using its Influencer Platform. GlobalData research has found the top AI influencers based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in AI on Twitter during Q3 2019. Ronald van Loon is a Big Data expert and Director at Advertisement, a data and analytics consultancy firm. He helps data-driven companies in executing data and analytics strategies to become more successful.
AI is more hype, less reality, say three-quarters of the executives surveyed in a 2021 study by KPMG, "Thriving in an AI World: Unlocking the Value of AI across 7 Industries." And half think AI is moving too fast in their industry, even as they wish their company was moving faster. The hurdles to implementing AI are high, from a fundamental misunderstanding of what AI actually is and what it can do, to the significant lack of expertise available to help AI-curious organizations get their footing, says Dr. Ellen Campana, head of enterprise AI at KPMG LLP. "The overhype is a real concern," Campana says. "There are a lot of people trying to get into the game. Many have had a bad experience along the way, because they have put their trust in a group or person that didn't have a lot of experience with AI, or they didn't have a clear understanding of what to expect when launching an AI program."
AI is a major game changer. AI could contribute up to $15.7 trillion to the global economy in 2030, more than the current output of China and India combined. Of this, $6.6 trillion is likely to come from increased productivity and $9.1 trillion is likely to come from consumption side effects. Pricewaterhouse Cooper's (PwC) third annual AI Predictions Report has highlighted the importance of focusing on the fundamentals in preparation for large-scale AI projects. One of the big questions in their recent report was analyzing over 1000 respondents (200 CEOs) in the USA Survey and asked: How far along are companies in their usage of AI?
Gartner predicts that "by 2022, 70 percent of white-collar workers will interact with conversational platforms on a daily basis." As a result, the research group found that more organizations are investing in chatbot development and deployment. IBM Business Partners like Sopra Steria are making chatbot and virtual assistant technology available to businesses. Sopra Steria, a European leader in digital transformation, has developed an intelligent virtual assistant for organizations across several industries who want to use an AI conversational interface to answer recurrent customer service questions. In developing our solution, we at Sopra Steria were looking for AI technology that was easy to configure and could support multiple languages and complex dialogs.
Three-quarters of government decision-makers struggle to select the right artificial intelligence solutions for their projects, a new report found. Still, 61% of respondents to a KPGM survey said AI is moderately to fully functional in their organization, according to "Thriving in an AI World," a report the professional services firm released March 9. And in the next two years, respondents said they plan to use AI to improve process automation (48%) and analytics (40%). To determine the best AI solutions, agencies must first define their use case, said Rob Dwyer, KPMG advisory principal specializing in technology in government. Robotic process automation is a common entry point to AI in the public sector because vendors in that area are well established, and it's relatively easy to earn small wins that can drive support for other AI efforts, he said.
From privacy and surveillance to fairness and transparency, Avanade Ireland's Graham Healy discusses what leaders need to think about when it comes to digital ethics. As digital transformation accelerates, there are plenty of issues for leaders to contend with, from considering a remote workforce to a decentralised data management system. However, there are also ethical issues to consider when it comes to digitalisation, including data privacy, transparency and accessibility. According to Graham Healy, the areas on which leaders need to focus their attention depends on several factors, including the business they're in. Healy is the country manager for Avanade in Ireland, a joint venture between Microsoft and Accenture that delivers digital, IT and advisory services to clients all over the world.