Among the topics we discussed:

• What is a time series database, and how can it help today’s companies focused on cloud and AI deployments?
• What advice do you give to companies that need to optimize their time series database?
• How is InfluxData serving the TSDB needs of its clients?
• The future of Time Series database? What major developments do you foresee?

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The post InfluxData CEO Evan Kaplan on Time Series Databases appeared first on eWEEK.

Among the topics we discussed: 

1) Based on your reading of the report, what do you see as 1-2 critical takeaways about AI and data management?

2) Let’s walk through the main bullet points and talk about what they mean:

• Well over half of executives expect AI use to be widespread or critical in business functions by 2025.

• 72% of C-level respondents stress that problems with data management will jeopardize future AI achievement.

• 78% of surveyed executives say scaling AI successfully is top priority for data strategy.

• AI investment will be strongest in financial services.

• Executives see multi-cloud and open standards as integral to AI progress.

3) How is Databricks addressing the AI and data management needs of its clients? What’s the Databricks advantage?

4) The future of data and AI management? What are some important trendsd we can expect in the years ahead?

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The post Databricks’s Chris D’Agostino on AI and Data Management appeared first on eWEEK.

Among the topics we covered: 

• I know that Oracle is working to make it easier and cheaper to use multiple cloud providers. In a larger sense, what trends do you see driving the relationship between the database and multi-cloud computing this year?
• Let’s talk about the news. Oracle will announce that AWS developers will have a choice to run transaction processing, analytics, and machine learning within a single database. What is the larger significance of this?
• What about MySQL Heatwave, including the evolution of the solution?
• What about the benchmarks – how does Oracle compare with other cloud database vendors?
• The future of the database? There’s a lot happening in the database market these days. What are some key trends that are moving the sector forward?

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The post Oracle SVP Nipun Agarwal on MySQL HeatWave appeared first on eWEEK.

• As you survey the data management market, what are the major challenges companies face this year?
• How can companies ease the burden of data management – what advice do you recommend?
• How is Autonomous Data Management addressing the needs of companies ? What’s the ADM advantage?
• The future of data management? Certainly it looks to get more challenging, as data levels increase exponentially.

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The post Veritas Technology’s Doug Matthews on Automated Data Management appeared first on eWEEK.

Among the topics we discussed: 

• One of the biggest trends in data today is the growth of unstructured data, which creates plenty of challenges for companies. How do you see this trend unfolding?
• What is an ideal system or strategy for handling unstructured data? In particular, what about enabling unstructured data analytics?
• How is Komprise helping manage the unstructured data loads of its clients?
• The future of managing and analyzing unstructured data? How can we prepare now for future trends?

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The post Komprise’s Krishna Subramanian on Managing Unstructured Data appeared first on eWEEK.

• As you look at the market adoption of serverless databases, what’s driving it forward?
• How will serverless databases change the way that developers work with databases? What about cloud native?
• How is Cockroach Labs addressing the database needs of its clients? What’s the Cockroach advantage?
• The future of the database and the database market? What are some key milestones we can expect in the years ahead?

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The post Cockroach Labs’ Jim Walker on Serverless Databases appeared first on eWEEK.

• Let’s talk about the report – but first, let’s clarify. The report mentions the importance of data literacy. What exactly is data literacy? How can or should companies quantify it?
• The report says that data training is key to fighting the Great Resignation. What else do you see as particularly important about the report?
• Data training is vital to employee success and retention. How can companies prioritize it?
• The future of data literacy? It appears that the data literacy of workers is growing rapidly.

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The post Tableau CTO Andrew Beers on the Rising Importance of Data Literacy appeared first on eWEEK.

• As you survey the market for data, what are a couple of key trends you see driving the market?
• What’s a common problem that companies face with their data strategy? Any advice that you would give?
• How is Narrative addressing the data needs of its clients? What’s the Narrative advantage? What about privacy and security – this must be a hot button issue.
• The future of data and its use in the market? What are some key milestones we can expect in the years ahead?

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The post Narrative CEO Nick Jordan on Data Market Trends 2022 appeared first on eWEEK.

Among the topics we discussed:

• What’s your sense of how companies are navigating the challenges of data analytics these days? Do you think they’re relatively effective, or are companies generally struggling?
• If you’d give advice to companies about how to get more from their analytics software, what would you recommend?
• What’s a tool or application from the SAS portfolio that’s particularly notable? What makes it stand out?
• What do you see as the near to mid-term future of data analytics? What milestones do you expect over the next few years?

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The post SAS’s Kimberly Nevala on How to Optimize Data Analytics for Success appeared first on eWEEK.

Among the topics we discussed: 

• As companies rely more and more on their data analytics platforms, what are the typical challenges they run into? What do companies struggle with, in getting the most from their analytics platforms?
• What about the current relationship between data analytics and artificial intelligence? Can anyone do analytics without AI?
• How does ThoughtSpot compare with other vendors like Tableau and Micrsoft Power BI? What sets it apart?
• What about the classic conflict in analytics platforms, between ease of use and intuitive user interface, versus robust capabilities and tools for advanced data scientists? Which side does ThoughtSpot fall on?
• The future of data analytics as you see it, over the next few years?

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