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95 percent of business leaders expect AI/ML investments to boost revenue

#artificialintelligence

A new survey of 100 chief data officers (CDOs) and chief data analytics officers (CDAOs) at companies with $1B in revenue shows that 95 percent say their company leadership expects investments in AI and ML applications will result in a revenue increase. The study for Domino Data Lab, carried out by Wakefield Research, shows 67 percent are adopting a more offensive data policy seeking to drive new business value with analytics, ML and AI applications. However, the study suggests that data science is not sufficiently funded to live up to leadership expectations -- only 19 percent say their data science teams have been provided sufficient AI and ML resources to meet leadership's expectations for a revenue increase. "Data science executives need proper resources, empowerment and support to achieve revenue and transformation goals," says Nick Elprin, co-founder and CEO of Domino Data Lab. "Boards and the full C-suite must invest in CDOs and CDAOs and put them in charge of people, process and AI/ML technologies, or risk existential competitive pressures."


How to make the most of your AI/ML investments: Start with your data infrastructure

#artificialintelligence

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. The era of Big Data has helped democratize information, creating a wealth of data and growing revenues at technology-based companies. But for all this intelligence, we're not getting the level of insight from the field of machine learning that one might expect, as many companies struggle to make machine learning (ML) projects actionable and useful. It starts with strong data infrastructure. Data needs to be accessible across systems and ready for analysis so data scientists can quickly draw comparisons and deliver business results, and the data needs to be reliable, which points to the challenge many companies face when starting a data science program.


What you should know about investing in AI during economic downturn

#artificialintelligence

Over the past few months, the COVID-19 virus has had a huge impact on the globe. As of April 28, according to the World Health Organization, there have been more than 2.8 million confirmed cases worldwide and nearly 198,000 confirmed deaths reported in more than 213 nations across the globe. The COVID-19 Pandemic is forcing governments and businesses into actions that are critical in the effort to minimize the rate at which the virus spreads. On March 19th, all residents in California, 40 million people, were asked to "shelter in place" and leave their homes only for basic necessities. Any bay area citizen who has lived through often nightmarish commutes can now travel corridors with ease that a month ago would have been congested with bumper to bumper traffic.