Seek AI today launched a cloud-based AI platform that automates some of the repetitive work performed by data professionals. Business users often require you to write new code to query the database and answer ad hoc questions. With generative AI like DALL-E, Stable Diffusion or GPT-3, Seek AI automates this process and increases the productivity of data professionals. Business users can access Seek AI’s natural language interface through email, Slack, SMS, and various customer relationship management (CRM) systems.
In an interview with Authority Magazine , Sarah Nagy, co-founder and CEO of Seek AI, highlighted the challenges of finding a balance between data accuracy and accessibility: “On the one hand, accessibility allows people with less technical knowledge to interact with organizations where Knowledge sources interact. On the other hand, what’s the point of dirty water sources (ie, bad data)?… The best data teams are the ones that handle these trade-offs as best they can, and most of them carefully calibrate and review all the tools they can interact with.non-technical users.
Talend’s second annual Data Barometer, based on a recent global survey of 900 data professionals, shows that organizations will lose approximately 10 points in all five characteristics of healthy data (timeliness, accuracy, consistency , accessibility and completeness) by 2022 or worse. of 2022 is the case in 2021. Speed (-29 points) and accessibility (-15 points) saw the biggest declines as respondents struggled to get the data they needed due to remote work (57%).
More than a third of companies say trusting the data they rely on to make business decisions is a major challenge. In fact, nearly half of respondents believe that ensuring data quality is one of the biggest challenges in using data effectively.
Sound, high-quality data that can be trusted contributes significantly to the health of a business. Talend survey respondents put revenue growth and cost optimization at the top of their list for using data, and both of these business goals have been a priority over the past year.
However, nearly half of organizations say their data still lacks the speed and flexibility they need to meet all business needs, and 41% say they don’t have immediate access to the right data. The main barrier remains the data knowledge gap between data professionals and data consumers: One in three respondents are concerned about how employees understand the data they use.
“Without a common language for data, these companies may not be prepared for the challenges ahead,” the Talend report concludes. A new Harvard Business Review article describes a new job category, data product manager, who is responsible for creating, communicating and managing the common language and jobs of data engineers and data consumers.
In “Why Your Company Needs a Data Product Manager,” Thomas H. Davenport, Randy Bean, and Shail Jain state that “many companies have embraced the concept of a data product: an effort to create sets of data reusable that can be analyzed in many ways by users.time to time to solve specific business problems They reported that at Vista, a design and marketing services company, data products generated an additional $90 million in revenue and at Alabama-based Regions Bank, data products had earned or saved hundreds of millions of dollars.
Data product managers are people with deep business knowledge and understanding of the work of data and AI professionals. They coordinate and manage the use of data products and measure their impact on the business.