Integrating edge artificial intelligence (AI) is not a simple process. Early forms of artificial intelligence relied on the computer power of data centers to perform their processor-demanding tasks. After some time, AI shifted into software, using predictive algorithms that changed how these systems support businesses. AI has now moved to the outer edges of networks. […]
Why You Need Both BI Tools and Augmented Analytics (and How to Choose a Vendor)
According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Your senior execs and managers want to leverage data and information […]
Alation Demo: Two Brains Are Better than One: Empower Data with Machine Learning and Human Insight
Click here for slides>> Dispel the most demanding data-management challenges with the dynamic duo of machine learning and human insight. We’ll reveal how Alation drives data search and discovery, data governance, and analytics so you can spend your time analyzing data to help your organization gain a competitive advantage, rather than spending most of your […]
AtScale Demo: How to use a semantic layer on Big Data to drive AI & BI impact
Click here for slides>> Learn about using a semantic layer to make data accessible and how to accelerate the business impact of AI and BI in your organization. This session will offer practical advice on how to drive AI & BI business outcomes with an effective data strategy that leverages a semantic layer. You will […]
ChaosSearch Demo: Analytics with No Data Movement! How I Stopped Worrying & Learned to Love the Data Lake
Click here for slides>> Are you filtering and trimming data to keep costs down? Are you sacrificing insights because of short retention windows? Are your most talented technical resources bogged down with data prep, movement, and pipeline management? If you answered yes to any of these questions, there is a better way. During this session, […]
Sisense Demo: Go Beyond Dashboards – Infuse Analytic and Data Insights Everywhere
Click here for slides>> It’s time to think differently about data and analytics strategies. While many organizations have progressed from relying on static outputs, generated by dedicated teams, to bring data and analytic insights to knowledge workers everywhere. At Sisense we use terms like infuse and embed to provide these insights inside interfaces that users […]
Denodo Demo: Achieving Self-Service Analytics with a Governed Data Access Layer
Click here for slides>> We have all heard about corporate Self-Service initiatives, or maybe your company has even attempted to implement one. With the evolution of the data landscape, we have become data-driven, when we should be information-driven because data without context lacks meaning. Data that has meaning is what drives valuable business insights. We […]
Five Tips for Telling a Compelling Data Story
Running a business is impossible without data. Data clarifies the facts, revealing insights that help everyone from top executives to front-line employees make better decisions. Nonetheless, it is as much an art as a science to make sense of data and use it to maximum effect. Information overload is one reason. The amount of data […]
Operational Data Analytics Extends Finance’s Value
Futuristic films, such as the new “Doctor Strange in the Multiverse of Madness,” are a fun look into what the future might hold. But outside the cinema, we’re seeing shifts in what’s possible right now. By leveraging operational data that’s collected throughout their very own organization, finance leaders are transforming the finance function and extending the […]
DataEd Webinar: Data Preparation Fundamentals
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Whether you call it data munging, data cleansing, or data wrangling, everyone agrees that data preparation activities account for 80% of analysts’ time, leaving only 20% for analysis. Shifting this work to more specialized talent represents a […]