Seek AI today announced a cloud-based AI platform that automates some of the repetitive tasks performed by data professionals. Business users often ask me to write new code to query databases and answer ad-hoc questions. Using generative AI such as DALL-E, Stable Diffusion, and GPT-3, Seek AI automates this process to improve productivity for data professionals. Business users can access Seek AI’s natural language interface via email, Slack, text, and various customer relationship management (CRM) systems.
Robots and humans work together.
in an interview with authority magazine, Seek AI co-founder and CEO Sarah Nagy highlighted the challenge of managing the trade-off between data accuracy and accessibility. On the other hand, what good is a polluted spring of water (i.e. bad data)? The trick is to carefully tune and vette the tools that non-technical users can work with. ”
Talend’s second annual Data Health Barometer, based on a recent global survey of 900 data professionals, ranks all five markers of healthy data: timeliness, accuracy, consistency, accessibility, and completeness), companies report about 10 percentage points lower in 2022 than in 2022. Timeliness (-29 points) and accessibility (-15 points) showed the biggest declines as respondents struggled to get the data they needed as a result of remote work (57%).
More than a third of businesses report that trusting the data they rely on to make business decisions is a major challenge. In fact, nearly half of respondents feel that ensuring data quality is the biggest challenge to using data effectively.
Reliable, healthy, high-quality data contributes significantly to the health of your business. Respondents to Talend’s survey ranked increasing revenue and optimizing costs at the top of their list of data usage, with both of these business goals taking precedence over last year.
However, nearly half of businesses say their data still lacks the speed and flexibility needed to meet all of their business demands, and 41% claim they can’t access the right data quickly. increase. The data literacy gap between data professionals and data users remains a major obstacle.
“Without a common language of data, these companies may be ill-prepared to face the challenges ahead,” concludes the Talend report.new harvard business review The article describes a new occupation —data product manager— Responsible for creating, communicating and managing the common language and work of data engineers and data users.
In “Why Your Company Needs Data-Product Managers,” Thomas H. Davenport, Randy Bean, and Shail Jain state: Different users over time to solve specific business problems. They report that at Vista, a marketing and design services firm, data products contributed to his $90 million increase in profits. And Alabama-based Regions Bank makes and saves hundreds of millions of dollars with data products.
A data product manager is an individual with both broad business skills and knowledge of the work done by data and AI professionals. Coordinate and manage the use of data products and measure business impact.
To paraphrase Calvin Coolidge, “The main business of business today is data.
.
Comments
Post a Comment