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THAT... is ☝️ in a row Twice! win#2- 2-1 inaugural opening... on the road. Verde! Listos! Vamos! Austin FC #VERDE

Honored to have made the Sweet 16! @InsideBigData1 #Cloud #BigData Kinetica

#SpatialAnalytics with Kinetica [on-demand webinar with @DataScienceCtrl]: bit.ly/3KIPNUe ————— #abdsc #BigData #Analytics #Geospatial #DataScience #AI #MachineLearning #GraphAnalytics #GraphDB #LinkedData

Top Wall Street bank uses Kinetica to manage #risk in #realtime. See the demo. bit.ly/3JHKZx6

Very respectful end of the game from Air Force and Texas 👏 #CollegeBaseball #RoadToOmaha

Trying to decide what to use to study #IoT data? Kinetica is the fastest and most comprehensive database for analyzing IoT data with a space and time component. bit.ly/3LJfbdk #sponsored

From the #BIInsightJam archive: Enriched #SensorData is by far the fastest-growing kind of #Data. Kinetica's Chad Meley on why spatial #BigData will deliver #DigitalTransformation in the days ahead:

Great tech, team, and tailwinds came together last year! Kinetica grows ARR 90%; NDRR rate of 163%; Doubles Customers as demand for analyzing sensor and machine data in #realtime takes off Amazon Web Services Microsoft Azure NVIDIA Intel prnewswire.com/news-releases/…

Join me for the #eWeek event on X at 2pm EST today on the topic of Next Gen Data Analytics. Kinetica

A1. In recent years, companies shifted data analytics to the cloud. With the leap in generative AI late last year, focus now shifts to innovation. Cloud migration laid the groundwork, enabling companies to explore novel data-driven possibilities. #eweekchat

A2. Some companies are committed to data analytics and believe it fuels insights, innovation, and sets them apart. Other companies are skeptical that analytics creates value. Both have been proven right. #eweekchat

Navigating data analytics can be challenging due to ever-evolving compute paradigms (@NVIDIA), analytic frameworks, and data expansion. While daunting, this brings opportunities for richer insights, pushing us to adapt and grow in extracting value from data. #eweekchat

A4. A year ago, I would have said “democratizing data” is just marketing speak. However, generative AI's remarkable ability to convert natural language into SQL code is playing a pivotal role in democratizing data analysis. kinetica.com/features/sqlgp… #eweekchat

A5. Generative AI is reshaping data analytics through language-to-SQL and vector similarity search. It's a new era in data analysis. We’ll see more companies tackling messier datasets like those from sensors & video feeds. We’ll see more needles found in the haystack. #eweekchat

A6. The influx of real-time data from devices observing the physical world is intricate, making it challenging to distinguish valuable signals from noise. That's where all the data growth is occuring. Success depends on pushing the boundaries of existing data stacks. #eweekchat

A7. Tackle real-time data challenges by exploring innovative technologies, learning from industry innovators, fostering interdisciplinary collaboration, and applying first principles thinking. #eweekchat

A8. Be agile because of rapid change. Prioritize talent acquisition and nurture skilled data professionals. Embrace experimentation and iteration to foster innovation. Align analytics efforts with strategic business goals to ensure insights drive meaningful outcomes. #eweekchat

A9. Leaders should recognize the future of data analytics will be shaped by rapid technological advancements. Don’t get sucked into doctrine or old design patterns that thwarts continuous learning and adaptability. Keep pulse on industry trends to remain competitive. #eweekchat

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🚀🌟 Just in time for #RTASummit: StarTree unveils AI-native vector auto-embedding and Model Context Protocol (MCP) support—powering real-time RAG and agentic AI apps at scale. Read more here: bit.ly/4m4I5X4 Join the summit on May 14 to see it in action. 🔗⛰️