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Platform for Cloud BI and Analytics

Birst provides a complete Business Analytics platform
that is purpose-built for agility, combining the economic
benefits of a multi-tenant Cloud solution with the freedom to choose where you host your data, in your private cloud or in the Birst Cloud. Traditional Business Intelligence (BI) solutions require expensive software licenses, integration of multiple different products, long implementation cycles, and costly maintenance. These types of solutions often also yield disappointing results, since high costs and lacking flexibility severely limits the solution’s ability to serve ever-evolving business needs effectively.

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Spotlight

Aponia Data Solutions

Aponia works with clients seeking assistance with their Data Analytics, IT Security and Risk Management programs. By delivering painless Data and Risk Management Solutions to many firms, we extend to users the capability to take their businesses in the right direction. Our Core Value is executing each service we provide efficiently. As part of our Data Services, we provided Big Data is challenging to understand, let alone implement successfully. Aponia strives to make Big Data not only functional, but useful as well as intuitive.In our consulting practice in IT Security and Risk Management, we have matured in creating the first ever predictive vendor risk management platform for financial services, healthcare and retail. Aponia has decades of experience implementing large data solutions for financial services and Healthcare clients, as well as for other enterprise verticals. We provide partial or complete turnkey solutions to current challenges faced by the enterprise.

OTHER WHITEPAPERS
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The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

Read More
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Bridging the Data Talent Gap: How Enterprises are Reimagining the AI, Data and Analytics Workforce

whitePaper | July 12, 2022

In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.

Read More
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DataOS®: A Paradigm Shift in Data Management – Creating Scalable Analytics

whitePaper | October 10, 2022

Companies undergoing digital transformation must make data available to all stakeholders. However, outdated security and governance tools can prevent companies from freeing their data without opening themselves up to new risks.

Read More
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Dell Validated Design for Analytics — Data Lakehouse

whitePaper | August 23, 2022

Digital transformation has moved businesses from a mode of retrieving and organizing critical information in conventional data stores to a new goal: capturing and storing every bit that passes through the business. The number and diversity of data sources are constantly expanding. New horizons are recognized in data as a raw resource with potential for value creation, even if specific points of value cannot yet be discerned.

Read More
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Tackling climate change with data science and AI

whitePaper | April 2, 2023

In this white paper, we share how The Alan Turing Institute’s AI for science and government (ASG) programme has been using collaborative and multidisciplinary data science and AI to help tackle climate change.

Read More
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Maximize the ROI of Your Databricks Lakehouse with Stardog: Asset

whitePaper | June 2, 2022

Data lakeshold enormous promise in supporting modern enterprise data architectures. Their ability to store a full variety of data types and handle ever-larger data volumes generated at high velocity have contributed to their widespread adoption.

Read More

The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

Read More

Bridging the Data Talent Gap: How Enterprises are Reimagining the AI, Data and Analytics Workforce

whitePaper | July 12, 2022

In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.

Read More

DataOS®: A Paradigm Shift in Data Management – Creating Scalable Analytics

whitePaper | October 10, 2022

Companies undergoing digital transformation must make data available to all stakeholders. However, outdated security and governance tools can prevent companies from freeing their data without opening themselves up to new risks.

Read More

Dell Validated Design for Analytics — Data Lakehouse

whitePaper | August 23, 2022

Digital transformation has moved businesses from a mode of retrieving and organizing critical information in conventional data stores to a new goal: capturing and storing every bit that passes through the business. The number and diversity of data sources are constantly expanding. New horizons are recognized in data as a raw resource with potential for value creation, even if specific points of value cannot yet be discerned.

Read More

Tackling climate change with data science and AI

whitePaper | April 2, 2023

In this white paper, we share how The Alan Turing Institute’s AI for science and government (ASG) programme has been using collaborative and multidisciplinary data science and AI to help tackle climate change.

Read More

Maximize the ROI of Your Databricks Lakehouse with Stardog: Asset

whitePaper | June 2, 2022

Data lakes hold enormous promise in supporting modern enterprise data architectures. Their ability to store a full variety of data types and handle ever-larger data volumes  generated at high velocity have contributed to their widespread adoption.

Read More
More Whitepapers

Spotlight

Aponia Data Solutions

Aponia works with clients seeking assistance with their Data Analytics, IT Security and Risk Management programs. By delivering painless Data and Risk Management Solutions to many firms, we extend to users the capability to take their businesses in the right direction. Our Core Value is executing each service we provide efficiently. As part of our Data Services, we provided Big Data is challenging to understand, let alone implement successfully. Aponia strives to make Big Data not only functional, but useful as well as intuitive.In our consulting practice in IT Security and Risk Management, we have matured in creating the first ever predictive vendor risk management platform for financial services, healthcare and retail. Aponia has decades of experience implementing large data solutions for financial services and Healthcare clients, as well as for other enterprise verticals. We provide partial or complete turnkey solutions to current challenges faced by the enterprise.

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