NEW YORK, Oct. 13, 2020--According to Deloitte's "2020 State of AI in the Enterprise, 3rd Edition" study, 83% of respondents believe that artificial intelligence (AI) will be very or critically important to their business success in the next two years, but only 47% feel they have a high level of skill in selecting AI technologies and suppliers. As AI becomes more widely available and crucial to market leadership, organizations need to swiftly apply AI within their businesses. To help solve for rapid AI integration, Deloitte today announced its CortexAI platform. An award-winning solution already in market and proven in client engagements by Deloitte audit and tax clients, CortexAI is now being expanded to Deloitte consulting and risk and financial advisory clients. CortexAI brings together Deloitte's unique expertise with the power of an AI platform to rapidly develop and deploy scalable, applied AI solutions that drive impact and enable companies to garner fast results and return on investment.

Smart CFOs now have to give serious thought to artificial intelligence (AI). The technology, which enables computers to be taught to analyze data, identify patterns, and predict outcomes, has evolved from aspirational to mainstream, opening a potential knowledge gap among some finance leaders. In fact, "AI's'early adopter' phase is ending," according to the recently published third edition of Deloitte's State of AI in the Enterprise report.1 The survey, which collected responses from nearly 2,750 executives at companies that have adopted AI, found that about half of respondents (47%) were "skilled" in their AI efforts, meaning that their companies had launched multiple AI systems, but lagged in terms of their number of implementations or their AI expertise--or both. Another 26% were categorized as "seasoned," given that they had already built multiple AI systems and shown a high level of maturity in selecting, managing, and integrating AI technologies.

The health & safety of our attendees & speakers is our primary concern. While this currently proves to be a tricky time for public gatherings, Dataiku is still committed to providing great tech content & facilitating discussions in the data science space. As such, weve decided to pivot towards online webinars via our partner platform, BrightTalk. IMPORTANT - RSVP HERE: https://www.brighttalk.com/webcast/17108/445121?utm_source Dataiku&utm_medium brighttalk&utm_campaign 445121 Tentative Schedule: (EST) 2:00pm: Intro 2:05pm: What Can You Do With Unstructured Text Data? w/ PwC 2:45pm: Q&A Talk Abstract: In this talk we will explore the opportunities that arise from unstructured text data. Then we will take a deep dive into a few concepts that are used in applying Machine Learning to text data & discuss how can they be leveraged using deep learning & other methods Speaker Bio: Abdallah Musmar is a Manager at PricewaterhouseCoopers.

Artificial intelligence is a constellation of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence. Maybe that's why it seems as though everyone's definition of artificial intelligence is different: AI isn't just one thing. Technologies like machine learning and natural language processing are all part of the AI landscape. Each one is evolving along its own path and, when applied in combination with data, analytics and automation, can help businesses achieve their goals, be it improving customer service or optimizing the supply chain. Narrow (or "weak") AI Some go even further to define artificial intelligence as "narrow" and "general" AI.

Some of the largest digital consultancies across the globe have come together to assess the state of the global artificial intelligence (AI), revealing that Japanese businesses lead the way when it comes to AI adoption. The study was conducted by US-based research firm ESI ThoughtLab in collaboration with a consortium of digital services and consulting firms operating at the cutting edge of AI. Deloitte, Publicis Sapient, Cognizant, Appen, Dataiku and DataRobot were all involved in the study, which surveyed more than 1,000 companies across 15 countries. The goal was to understand the size and scale of AI initiatives across the world. According to the report, Japan emerges as a surprise leader in AI adoption.

Smart CFOs now have to give serious thought to artificial intelligence (AI). The technology, which enables computers to be taught to analyze data, identify patterns, and predict outcomes, has evolved from aspirational to mainstream, opening a potential knowledge gap among some finance leaders. In fact, "AI's'early adopter' phase is ending," according to the recently published third edition of Deloitte's State of AI in the Enterprise report.1 The survey, which collected responses from nearly 2,750 executives at companies that have adopted AI, found that about half of respondents (47%) were "skilled" in their AI efforts, meaning that their companies had launched multiple AI systems, but lagged in terms of their number of implementations or their AI expertise--or both. Another 26% were categorized as "seasoned," given that they had already built multiple AI systems and shown a high level of maturity in selecting, managing, and integrating AI technologies.

Companies across all industries have been scrambling to secure top AI talent from a pool that's not growing fast enough. Even during the economic disruptions and layoffs caused by the COVID-19 pandemic, the demand for AI talent has been strong. Leaders are looking to reduce costs through automation and efficiency, and AI has a real role to play in that effort.1 In Deloitte's third edition of the State of AI in the Enterprise survey, we found something unexpected when it came to skill gaps for AI implementations.2 Although a majority of the most mature AI adopters, the Seasoned, reported little or no gap between their AI needs and current abilities, 23 percent said they had a major or extreme one--a higher percentage than the less mature organizations.

Penelope Prett joined Accenture in 1992 and became CIO in 2019. Along the way, she has developed keen insight into how to deliver IT value to a $43.2 billion global company with 500,000 employees, who are responsible for delivering IT value to their clients. I spoke with Prett about her approach to leadership, the most impactful technologies of the day, how she forms and empowers her teams, and her advice for tomorrow's CIOs. What follows is an edited version of our interview. Martha Heller: How do you define your role as CIO of Accenture?

If there's one buzzword that is taking several industries and professions by storm, it is Artificial Intelligence. But is it still a buzzword falling to deaf ears or has it gained wide-spread acceptance and momentum? Data by PwC pegs the global impact of Artificial Intelligence at $15.7 trillion by 2030. On the other hand, Accenture claims that "Artificial Intelligence could double the rate of economic growth in developed countries by 2035." Needless to say, our money us on the latter.

To stay competitive and relevant in their industries, enterprises increasingly need to become AI-driven. AI is a new key to improving business processes, making better decisions, monetizing data, increasing security and more. The growing importance of AI in the enterprise is a point that industry observers now emphasize. Just consider this view from the global consulting firm Deloitte: "As AI technologies standardize across industries, becoming an AI-fueled organization will likely be table stakes for survival. And that means rethinking the way humans and machines interact within working environments."1