Data Warehouse Events Vision 
Tableau
MARCH 9, 2021
Tableau executives discussed our vision, strategy, and specific areas of focus globally and by Theater that we can together best support our mutual customers and community. Snowflake enables customers to store and analyze data efficiently—giving them the ability to scale their data warehouse up and down with demands.
Sisense
DECEMBER 23, 2019
AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. The right data and analytics platform can help you bridge the gap between your current AI and analytics paradigm and where you want your company to be in the future. .
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Sisense
MAY 31, 2020
Learning about their day-to-day needs and long-term vision allows us to use our internal expertise to map out a customer journey and guide them each step of the way. Re-architecting Sisense into its current cloud-native form delivers even better connections to a cloud data warehouse, which almost every company is using or will use soon.
Actian
DECEMBER 9, 2019
How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.
Astera
JANUARY 18, 2024
Mergers and acquisitions don’t only involve the shareholders—in fact, all stakeholders, including the customers, are affected by these transformative events. On the strategic front, leadership changes post-acquisition can impact the vision and strategy of the company. Automate and orchestrate your data integration workflows seamlessly.
Tableau
MARCH 9, 2021
Tableau executives discussed our vision, strategy, and specific areas of focus globally and by Theater that we can together best support our mutual customers and community. Snowflake enables customers to store and analyze data efficiently—giving them the ability to scale their data warehouse up and down with demands.
Astera
DECEMBER 24, 2024
Once trained, an AI system uses natural language processing (NLP) to understand text content, along with computer vision techniques to process the structure of invoices, enabling it to recognize patterns, field locations, and relationships between data points. AI models are trained on a large number of different invoices.
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