As businesses adopt generative AI, a technology that creates new content and finds patterns, what will Data Science, the processes and activity geared to getting insights from big data, look like? How will this kind of analytical work change? Will there be an increased or decreased need for data scientists? How should businesses adapt their information […]
The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights
Businesses today are drowning in data. The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in. This game-changing technology combines the power of artificial intelligence (AI) […]
Signal vs. Noise: Balancing On-Call Hygiene for Data-Driven Teams
In the real-time software world, 24×7 uptime is critical for core software where millions of transactions occur every second. In 2018, Amazon’s Prime Day event experienced a 13-minute outage that, according to some estimates, may have cost the company up to $99 million in lost sales. Reliability is paramount when the business depends on it […]
The Role of Quantum Computing in Data Science
Quantum computing is on the cusp of turning the data science world upside down, offering a level of processing power we’ve only dreamed of until now. This new frontier has an incredible potential to reshape the way we approach data analysis, predictive modeling, and solving the kind of complex problems that have always been a tough […]
Effective Code Documentation for Data Science Projects
Code documentation is a detailed explanation of how the code works. It is a comprehensive guide that helps developers understand and use the code effectively. It is like a manual for your source code, providing information on the purpose of the code, how it is structured, and how it can be modified. Many developers might […]
KNIME Adds New SaaS Features to Automate Analytics Workflows on Community Hub
According to a new press release, KNIME, a software company focusing on user-friendly data handling, has introduced a new Software as a Service (SaaS) offering for its KNIME Community Hub. The KNIME Analytics Platform, an open-source tool, is already available for free, providing full functionality for analytics through an intuitive interface. The KNIME Community Hub […]
Implementing a Digital Transformation Strategy
A digital transformation strategy is a detailed roadmap for using digital processes to enhance business outcomes across different functions of an enterprise. Data and digital technologies drive this strategy. One thing to note is that the marketing function plays a critical role in shaping the broad business goals and objectives of any business. To gain […]
Data Science for All: How Open Source Levels the Playing Field in a Talent-Starved Market
Despite today’s data scientist talent shortage, organizations are not holding back from investing in Data Science initiatives. A recent survey produced by my company in collaboration with TechTarget’s Enterprise Strategy Group shows that most organizations understand how to overcome today’s talent shortage. 87% of respondents said that building Data Science skills across domains and lines of business departments is a […]
Webinar: Beyond the Hype – The Real Impact of AI on Business Intelligence
Download the slides here>> This webinar is sponsored by: About the Webinar Join us to learn how the user journey with BI can change for the better by integrating AI. We’ll take a look at the perspectives of both Analysts and Business Users, to understand where the practical application of AI can help in the […]
How to Become a Citizen Data Scientist
The job responsibilities of a citizen data scientist include dealing with new data, using automated tools to process big data, and creating additional models to gain additional insights. Their primary job is not to make predictions directly from big data, or develop prescriptive analytics, but to build models and use tools that accomplish those goals. […]