analytic officer
The 9 Inspirational Women Leaders In AI Shaping The 21st Century
Women's day and Women's History Month are especially meaningful to me as a proud father of a daughter. I want my daughter to understand how wonderful and invaluable she is, not only to me and her mother, but also to everyone else in the world. Second, I want her to be exposed to amazing women who are accomplishing great things on a daily basis. I live, work and breathe AI and Technology. Through my work and research, I have encountered the work of countless amazing women in this sector. This month, I'd like to introduce you to nine incredible women who are making a difference in AI and Technology, as well as what barriers we all still face. During International Women's History Month, it is our pleasure to highlight and honor 9 women who are pushing the boundaries of artificial intelligence and ensuring that technology advancements contribute to the greater good.
The 50 most influential AI leaders In India - InfotechLead
Analytics India Magazine has published its annual list of the 50 Most Influential AI Leaders In India for the year 2021. The magazine has selected AI professionals on the basis of the expertise they hold in the field of AI and Data Science. The list of leading AI (Artificial Intelligence) professionals recognizes the exceptional work these professionals have accomplished over the last year.
Execs Bullish on AI but Wary of Data Leadership
Every year in December and January, NewVantage Partners (NVP) conducts a survey of data and technology executives in large companies primarily located in the U.S. Every year, we (the authors) collaborate in analyzing and interpreting the results. And every year, we wonder why the survey results suggest that certain aspects of the data environment aren't getting better faster, or why they sometimes even become worse. The executives are usually pretty bullish about technology but quite bearish regarding whether their organizations are becoming more data-driven. They also express concerns about the executive roles -- most frequently, the role of chief data officer (CDO) -- that are charged with making their company's data environment better. Get monthly email updates on how artificial intelligence and big data are affecting the development and execution of strategy in organizations.
Pandemic drives AI demand up - IT-Online
The demand for artificial intelligence (AI), data, and digital tools is soaring as the Covid-19 pandemic continues to put a strain on many enterprises. This is among the findings in a new study conducted by Corinium and sponsored by Fico. The report, "Building AI-Driven Enterprises in a Disrupted Environment", surveyed more than 100 c-level analytic and data executives and conducted in-depth interviews to understand how organisations are developing and deploying AI capabilities. The study found that the uncertainties caused by the pandemic have forced many organizations to adopt a more committed, disciplined approach to becoming an AI-driven enterprise, with more than half (57%) of the chief data and analytics officers saying that Covid-19 has increased demand for AI, digital products and tools. Enterprises are seeking new AI-driven ways to mitigate risks and navigate through uncharted territories in the current economic environment. The report reveals the central role AI has in shaping the future as global markets work through and begin to recover from Covid-19; as well as how to mitigate future risk and disruption going forward.
New Study Finds Demand for Artificial Intelligence Increasing due to COVID-19
Conducted by Corinium and sponsored by FICO, the report – Building AI-Driven Enterprises in a Disrupted Environment – surveyed more than 100 c-level analytic and data executives and conducted in-depth interviews to understand how organizations are developing and deploying AI capabilities. The study found that the uncertainties caused by the pandemic have forced many organizations to adopt a more committed, disciplined approach to becoming an AI-driven enterprise, with more than half (57 percent) of the chief data and analytics officers saying that COVID-19 has increased demand for AI, digital products and tools. Enterprises are seeking new AI-driven ways to mitigate risks and navigate through uncharted territories in the current economic environment. The report reveals the central role AI has in shaping the future as global markets work through and begin to recover from COVID-19; as well as how to mitigate future risk and disruption going forward. Most data-driven enterprises are now aggressively investing in their AI capabilities, in fact 63 percent of respondents have started scaling AI capacity within their organization. However, enterprise chief data and chief analytics officers are facing a wide range of challenges as they increasingly look to grow AI. 93 percent say ethical considerations represent a barrier to AI adoption.
Covid-19 the latest AI demand driver
As many as 57% of chief data and analytics officers have said that Covid-19 has increased demand for AI, digital products and tools in enterprise. The findings were published in the report Building AI-driven enterprises in a disrupted environment, by global analytics software firm FICO and market intelligence firm Corinium. Together they surveyed more than 100 C-level analytic and data executives. The study found that uncertainties caused by the pandemic have forced many organisations to adopt a more committed, disciplined approach to becoming an AI-driven enterprise. In addition to rates of take-up, the survey also questioned respondents on ethical and responsible AI, and competitive advantages AI could generate post-Covid.
Global Big Data Conference
Artificial intelligence (AI) is seen by many as the best path to competitive advantage and efficiency. C-level executives are taking this message to heart – three-quarters believe if they don't move beyond experimentation to aggressively deploy AI, they risk going out of business over the next five years. That increasing anxiety emerged in a recent study from Accenture, based on a global survey of 1,500 C-level executives. Still, organizations are scrambling to establish an AI foothold. Eighty-four percent say AI is now vital to their business strategies, but only 16% have moved out of the experimental stage.
Botch Up Artificial Intelligence, Go Out Of Business, Executives Fear
Artificial intelligence (AI) is seen by many as the best path to competitive advantage and efficiency. C-level executives are taking this message to heart – three-quarters believe if they don't move beyond experimentation to aggressively deploy AI, they risk going out of business over the next five years. That increasing anxiety emerged in a recent study from Accenture, based on a global survey of 1,500 C-level executives. Still, organizations are scrambling to establish an AI foothold. Eighty-four percent say AI is now vital to their business strategies, but only 16% have moved out of the experimental stage.
CDAO Executive Summit - September 22-24, 2019 - Opal Group
The CDAO Executive Summit is a gathering of C-Suite Executives and Senior Decision Makers from Fortune 1000 and leading enterprise organizations. Our intimate, invitation-only event creates new business relationships and opportunities to benchmark with true peers while focusing on key business challenges. Our summit provides a specialized, strategically-built experience featuring unparalleled speaking sessions, on and off-site networking opportunities, and customized face-to-face business meetings. We believe in creating a memorable, collaborative and effective experience focused on continuous improvement for Chief Data & Analytics Officers, Chief Data Officers, Chief Analytics Officers, and other top executives in data, analytics, artificial intelligence, business intelligence, IT and data governance.
The Fundamentals of Data Literacy and Data Management Preparing for AI in Enterprise Emerj - Artificial Intelligence Research and Insight
Implementing artificial intelligence into an existing business is about more than algorithms. In fact, many AI researchers believe that algorithms are the easiest part of an artificial intelligence implementation. Algorithms need data, and for a business to assess, organize, clean, and use it's data requires ways of thinking that are entirely foreign to most existing enterprises. Partnering with Corinium Global Intelligence, we asked six experienced AI and analytics professionals (all speakers at Corinium's Chief Analytics Officer Spring event in on May 14th-16th in San Francisco) the following three important questions: In the sub-sections of the article that follows, we'll explore each of these questions in depth, highlighting the best insights from the professionals we corresponded with. IT procurement, software development, and software aren't new concepts to many experienced executives.