#DataSynthesis

[aiwikiweb]

5 Tips for Leveraging Hebbia AI for Business Success

Hebbia AI provides a powerful suite of tools to enhance productivity and efficiency in knowledge work. Here are some tips to help you make the most of Hebbia AI and achieve better business outcomes.

Tip 1: Use AI for Data Synthesis Across Departments

Explanation: Train Hebbia AI to work with data from different departments—whether it's sales, finance, or HR. This enables you to get a comprehensive view of your business, improving overall decision-making.

Tip 2: Automate Repetitive Legal and Financial Processes

Explanation: Use Hebbia AI to automate tasks like contract review, quarterly reporting, and earnings analysis. Automating these processes will save time and reduce the risk of manual errors.

Tip 3: Leverage the Infinite Context Window

Explanation: Take advantage of Hebbia’s ability to process vast volumes of data without limitations. Use this feature to conduct deep analyses of market trends, customer data, and historical transactions for strategic insights.

Tip 4: Gain Real-Time Business Intelligence

Explanation: Utilize Hebbia’s AI chat for instant sales intelligence, personalized outreach strategies, or on-the-spot data synthesis. Real-time insights help you stay informed and make prompt decisions.

Tip 5: Customize Workflow Automation

Explanation: Configure Hebbia AI to automate your most complex, multi-step workflows. Whether it's M&A deal analysis or asset management, Hebbia can be tailored to fit your unique business needs.

Maximize your business potential with these Hebbia AI tips. Start using AI to automate knowledge work and enhance decision-making today!

[finance-pro]

Unlocking the Potential of ChatGPT: How to Monetize this Advanced Language Model

ChatGPT, a large language model developed by OpenAI, has the capability to generate human-like text on a wide range of topics. This has opened up several opportunities for individuals and businesses to make money using the model.

One way to make money using ChatGPT is by creating and selling chatbots. Chatbots are computer programs designed to simulate conversation with human users. They can be used in a variety of industries such as customer service, e-commerce, and entertainment. With the help of ChatGPT, one can train the chatbot to understand and respond to natural language input, making the interaction with the user more human-like.

Another way to make money using ChatGPT is by providing text generation services. The model can be used to generate a wide range of text, including articles, blog posts, product descriptions, and more. Businesses and individuals can use this service to generate content for their websites, social media platforms, and other marketing materials.

In the field of research, ChatGPT can be used to generate large amounts of synthetic data. This can be used for training and evaluating other machine learning models, and this is a paid service that can be offered to companies and research institutions.

Finally, one could use ChatGPT as a tool for content creation in the entertainment industry. For example, ChatGPT can be used to generate script for movies, TV shows, and video games. With the help of the model, one can create unique and captivating stories that can be sold to production companies or studios.

It's worth noting that the above-mentioned opportunities are just a few examples of how ChatGPT can be used to make money, and there are many other possibilities as well. If you are interested in learning more about how to make money using ChatGPT, we recommend watching videos and reading articles on the topic. There is a lot of information available online that can help you understand the potential of the model and how it can be used in different industries.

[markethighs]

UpRock: The Future of Data Sharing and AI – Why You Should Join Now!

Discover how UpRock is transforming the way we interact with AI and data through its decentralized, people-powered platform. By democratizing advanced AI web crawling and data synthesis, UpRock allows users to take control of their data while earning rewards in the process. Learn why UpRock is a solid project, offering unparalleled access to cutting-edge AI tools, and how you can be a part of this revolution by sharing your internet and getting paid to travel.

Join UpRock and start earning passive income

UpRock #AIRevolution #DataDemocratization #DecentralizedPlatform #PeoplePowered #AIWebCrawling #DataSynthesis #DataControl #EarnRewards #PassiveIncome #AItools #InternetSharing #TechInnovation #AIandBlockchain #DataEconomy #FutureOfAI

[evoldir]

Fwd: Postdoc: UAberdeen.LandscapeGenetics

Begin forwarded message: > From: evoldir@web.rhpcs.mcmaster.ca > Subject: Postdoc: UAberdeen.LandscapeGenetics > Date: 24 March 2022 at 04:44:37 GMT > To: rdmpage@gmail.com > > > > MSCA Individual Fellowship hosting offer -Comparative landscape genetics > in Aberdeen,Scotland > > https://ift.tt/DRcNwaj > > The Lancaster research group at the University of Aberdeen (UK) is > seeking a Marie Curie postdoctoral researcher/applicant to lead on a > landscape genetic datasynthesis project. We aim to develop a database of > landscape genetic data and parameters across Eukaryotic (and possibly > Prokaryotic) species, and to use the datato address major questions > about the comparative biogeography of spatial genetic processes. > > We have developed a draft proposal which we will share with interested > applicants, and our group has a recent a track record of success in > securing MSCA funding. > > Interested parties, please contactlesleylancaster@abdn.ac.ukto discuss > and plan further project details, and to plan the development of a > competitive bid for funding. > > See https://ift.tt/P6UOVCc > examples of our recent publications. > > Dr. Lesley Lancaster > School of Biological Sciences > University of Aberdeen > Aberdeen, AB24 2TZ > United Kingdom > (+44) 01224274551 > > lesleylancaster@abdn.ac.uk > > The University of Aberdeen is a charity registered in Scotland, No > SC013683.  Tha Oilthigh Obar Dheathain na charthannas cl�raichte ann > an Alba, �ir. SC013683. > > "Lancaster, Lesley" > via IFTTT

[bigdatanewsmagazine]

TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – Yahoo Finance

BUFFALO, N.Y., April 04, 2017 (GLOBE NEWSWIRE) — Trove Predictive Data Science, Inc., an innovator in predictive data-science technology and a leader in its application, today is “making data useful” for more enterprise customers with the launch of its namesake offering, the TROVE Platform. Addressing the gap between Big Data’s promise to drive business improvement and the shortcomings of most data-analytics implementations to date, the TROVE Platform is optimized – through its core attributes of Datasynthesis™, Solvers™, Frictionless Functionality™, and Science Squad™ – to do one thing well: create measurable value for an organization by making its data more useful.

“Every company today will need to become a data company,” said Ted Schultz, CEO of TROVE. “And yet study after study has shown the enterprise trying, and failing, to wrest meaningful insights from the growing volume of data it is amassing. The big vendors in the space continue to come at this problem touting high-ticket, proprietary solutions that can effectively ‘boil the ocean’ but can’t tell a grid-operations team which customers will shed load tomorrow, or a customer-service department which customers are about to leave.

“At TROVE, we’ve taken a different approach. We are driven by one guiding principle: making data useful for our clients. Everything in our approach – packaging ready-to-use consumer data, flexible delivery models, use of open-source technology, and affordable pricing – helps our clients make the most of their current systems and gain the benefits of predictive data science quickly and easily. Our obsessive focus on making data useful has produced the TROVE Platform, which marries the computational horsepower of the biggest players with the operational ‘horse sense’ of experienced data scientists to help clients put their data to work in the right ways to meet their business imperatives.”

One such client is home-security giant ADT. Using TROVE, the company has tackled a number of marketing and customer-service challenges, gaining significant cost savings and operational insights in the process. Over the last year, ADT has used the TROVE Platform to make course-corrections to marketing campaigns, turn subjective “hunches” into quantifiable facts to support business decisions, and reduce churn through improved, data-driven customer engagement.

“The data advantage TROVE has delivered us is a significant one,” said Raya Sevilla, SVP of IT at ADT. “When we began to look at how we could use predictive data analytics in our operations, we reviewed the offerings of all the major players. TROVE was the only one that was flexible enough in pricing, technology and ideology to pivot and grow with us as we followed where the data led us. The TROVE Platform, as facilitated by the stellar ‘Science Squad,’ has since proven invaluable, seamlessly working with our legacy systems and across our business units to turn our customer data into an asset to drive and improve our business.”

The TROVE Platform The TROVE Platform features four key capabilities, each of which contributes to making data more useful for clients, and which together deliver companies a predictive data-science performance breakthrough. The four pillars of the TROVE Platform are:

Datasynthesis™ – TROVE’s proprietary process for making a client’s data “prediction ready” by aggregating and normalizing it, then augmenting it with TROVE’s unequalled cache of 3rd party data for precision insights.  

Solvers™ – TROVE doesn’t sell software, it sells “solvers” – practical bundles of data-science mastery, models and applications that interact with a customer’s data to answer an array of business-critical questions related to customer behavior, grid operations, campaign targeting and network performance.  

Frictionless Functionality™ – Combining open-source technology and enterprise scale, the TROVE Platform can handle data from any system, in any amount, run any model, and deliver usable results that integrate seamlessly with a client’s business applications, ensuring their predictive data-science experience is friction free.  

Science Squad™ – Across industries, data-science expertise is in short supply – except at TROVE. The TROVE Science Squad is esteemed among clients for its accessibility, creativity, and unequaled ability to help them get the best use and most value from their data and the TROVE Platform.

http://ift.tt/2o6Fdyr; or contact TROVE at info@trovedata.com.” data-reactid=”22″>The TROVE Platform is available today in the cloud or on premise. For more information on the TROVE Platform, please see http://ift.tt/2o5pjUT or contact TROVE at info@trovedata.com.

http://ift.tt/2o6CHbz;.” data-reactid=”23″>About TROVE TROVE Predictive Data Science, Inc. is an innovator in predictive data-science technology. The breakthrough TROVE Platform, which combines the best in scalability, open-source technology, data fusion, advanced data modeling, and consumer data, as well as data-science expertise and teamwork, makes data useful for the utility, smart-home, and other data-intensive industries. The company is headquartered in Buffalo, NY with an office in Silicon Valley. For more information, please see www.trovedata.com.

Let’s block ads! (Why?)

Originally posted on http://ift.tt/2nB9tO9

The post TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – Yahoo Finance appeared first on Big Data News Magazine.

from TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – Yahoo Finance

[aiwikiweb]

Transform Knowledge Work with Hebbia AI's Enterprise Solutions

Hebbia AI is an advanced AI-powered platform designed for knowledge work, transforming how businesses access, analyze, and leverage data. From asset management to legal advisory, Hebbia offers generative AI solutions that drive efficiency and real business outcomes, enhancing insights and enabling better decision-making.

Core Functionality: Hebbia AI provides a suite of tools for processing vast amounts of information, extracting key insights, and automating complex workflows across various industries, ensuring that businesses make informed decisions faster.

Key Features:

Data Synthesis: Process any type and volume of data with an infinite context window, enabling deep analysis and actionable insights.

Complex Workflow Automation: Automate multi-step workflows to enhance productivity and streamline operations.

Transparency & Security: Maintain full transparency of AI actions with robust enterprise security, trusted by leading institutions.

Custom Use Cases: Leverage Hebbia's capabilities to automate specific business processes, including market research, due diligence, and valuation analysis.

Benefits:

Increased Efficiency: Automate time-consuming knowledge work, reducing manual tasks and allowing teams to focus on strategic activities.

Better Decision-Making: Gain actionable insights from large volumes of data, supporting critical decision-making processes.

Scalable Solutions: Suitable for multiple sectors including asset management, legal, credit, and corporate finance, with customizable AI capabilities for unique business needs.

Ready to revolutionize your knowledge work? Try Hebbia AI today and leverage the power of generative AI to gain a competitive edge!

[bigdatanewsmagazine]

TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – GlobeNewswire (press release)

BUFFALO, N.Y., April 04, 2017 (GLOBE NEWSWIRE) — Trove Predictive Data Science, Inc., an innovator in predictive data-science technology and a leader in its application, today is “making data useful” for more enterprise customers with the launch of its namesake offering, the TROVE Platform. Addressing the gap between Big Data’s promise to drive business improvement and the shortcomings of most data-analytics implementations to date, the TROVE Platform is optimized – through its core attributes of Datasynthesis™, Solvers™, Frictionless Functionality™, and Science Squad™ – to do one thing well: create measurable value for an organization by making its data more useful.

“Every company today will need to become a data company,” said Ted Schultz, CEO of TROVE. “And yet study after study has shown the enterprise trying, and failing, to wrest meaningful insights from the growing volume of data it is amassing. The big vendors in the space continue to come at this problem touting high-ticket, proprietary solutions that can effectively ‘boil the ocean’ but can’t tell a grid-operations team which customers will shed load tomorrow, or a customer-service department which customers are about to leave.

“At TROVE, we’ve taken a different approach. We are driven by one guiding principle: making data useful for our clients. Everything in our approach – packaging ready-to-use consumer data, flexible delivery models, use of open-source technology, and affordable pricing – helps our clients make the most of their current systems and gain the benefits of predictive data science quickly and easily. Our obsessive focus on making data useful has produced the TROVE Platform, which marries the computational horsepower of the biggest players with the operational ‘horse sense’ of experienced data scientists to help clients put their data to work in the right ways to meet their business imperatives.”

One such client is home-security giant ADT. Using TROVE, the company has tackled a number of marketing and customer-service challenges, gaining significant cost savings and operational insights in the process. Over the last year, ADT has used the TROVE Platform to make course-corrections to marketing campaigns, turn subjective “hunches” into quantifiable facts to support business decisions, and reduce churn through improved, data-driven customer engagement.

“The data advantage TROVE has delivered us is a significant one,” said Raya Sevilla, SVP of IT at ADT. “When we began to look at how we could use predictive data analytics in our operations, we reviewed the offerings of all the major players. TROVE was the only one that was flexible enough in pricing, technology and ideology to pivot and grow with us as we followed where the data led us. The TROVE Platform, as facilitated by the stellar ‘Science Squad,’ has since proven invaluable, seamlessly working with our legacy systems and across our business units to turn our customer data into an asset to drive and improve our business.”

The TROVE Platform The TROVE Platform features four key capabilities, each of which contributes to making data more useful for clients, and which together deliver companies a predictive data-science performance breakthrough. The four pillars of the TROVE Platform are:

Datasynthesis™ – TROVE’s proprietary process for making a client’s data “prediction ready” by aggregating and normalizing it, then augmenting it with TROVE’s unequalled cache of 3rd party data for precision insights.  

Solvers™ – TROVE doesn’t sell software, it sells “solvers” – practical bundles of data-science mastery, models and applications that interact with a customer’s data to answer an array of business-critical questions related to customer behavior, grid operations, campaign targeting and network performance.  

Frictionless Functionality™ – Combining open-source technology and enterprise scale, the TROVE Platform can handle data from any system, in any amount, run any model, and deliver usable results that integrate seamlessly with a client’s business applications, ensuring their predictive data-science experience is friction free.  

Science Squad™ – Across industries, data-science expertise is in short supply – except at TROVE. The TROVE Science Squad is esteemed among clients for its accessibility, creativity, and unequaled ability to help them get the best use and most value from their data and the TROVE Platform.

The TROVE Platform is available today in the cloud or on premise. For more information on the TROVE Platform, please see http://ift.tt/2o5pjUT or contact TROVE at info@trovedata.com.

About TROVE TROVE Predictive Data Science, Inc. is an innovator in predictive data-science technology. The breakthrough TROVE Platform, which combines the best in scalability, open-source technology, data fusion, advanced data modeling, and consumer data, as well as data-science expertise and teamwork, makes data useful for the utility, smart-home, and other data-intensive industries. The company is headquartered in Buffalo, NY with an office in Silicon Valley. For more information, please see www.trovedata.com.

Contacts: Business inquiries: Isaias Sudit, TROVE isudit@trovedata.com (561) 501-0354 Media inquiries: Dan Mees, Holland-Mark for TROVE dmees@holland-mark.com (978) 409-2438

Let’s block ads! (Why?)

Originally posted on http://ift.tt/2oUNvXo

The post TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – GlobeNewswire (press release) appeared first on Big Data News Magazine.

from TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – GlobeNewswire (press release)

[bigdatanewsmagazine]

TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – GlobeNewswire (press release)

BUFFALO, N.Y., April 04, 2017 (GLOBE NEWSWIRE) — Trove Predictive Data Science, Inc., an innovator in predictive data-science technology and a leader in its application, today is “making data useful” for more enterprise customers with the launch of its namesake offering, the TROVE Platform. Addressing the gap between Big Data’s promise to drive business improvement and the shortcomings of most data-analytics implementations to date, the TROVE Platform is optimized – through its core attributes of Datasynthesis™, Solvers™, Frictionless Functionality™, and Science Squad™ – to do one thing well: create measurable value for an organization by making its data more useful.

“Every company today will need to become a data company,” said Ted Schultz, CEO of TROVE. “And yet study after study has shown the enterprise trying, and failing, to wrest meaningful insights from the growing volume of data it is amassing. The big vendors in the space continue to come at this problem touting high-ticket, proprietary solutions that can effectively ‘boil the ocean’ but can’t tell a grid-operations team which customers will shed load tomorrow, or a customer-service department which customers are about to leave.

“At TROVE, we’ve taken a different approach. We are driven by one guiding principle: making data useful for our clients. Everything in our approach – packaging ready-to-use consumer data, flexible delivery models, use of open-source technology, and affordable pricing – helps our clients make the most of their current systems and gain the benefits of predictive data science quickly and easily. Our obsessive focus on making data useful has produced the TROVE Platform, which marries the computational horsepower of the biggest players with the operational ‘horse sense’ of experienced data scientists to help clients put their data to work in the right ways to meet their business imperatives.”

One such client is home-security giant ADT. Using TROVE, the company has tackled a number of marketing and customer-service challenges, gaining significant cost savings and operational insights in the process. Over the last year, ADT has used the TROVE Platform to make course-corrections to marketing campaigns, turn subjective “hunches” into quantifiable facts to support business decisions, and reduce churn through improved, data-driven customer engagement.

“The data advantage TROVE has delivered us is a significant one,” said Raya Sevilla, SVP of IT at ADT. “When we began to look at how we could use predictive data analytics in our operations, we reviewed the offerings of all the major players. TROVE was the only one that was flexible enough in pricing, technology and ideology to pivot and grow with us as we followed where the data led us. The TROVE Platform, as facilitated by the stellar ‘Science Squad,’ has since proven invaluable, seamlessly working with our legacy systems and across our business units to turn our customer data into an asset to drive and improve our business.”

The TROVE Platform The TROVE Platform features four key capabilities, each of which contributes to making data more useful for clients, and which together deliver companies a predictive data-science performance breakthrough. The four pillars of the TROVE Platform are:

Datasynthesis™ – TROVE’s proprietary process for making a client’s data “prediction ready” by aggregating and normalizing it, then augmenting it with TROVE’s unequalled cache of 3rd party data for precision insights.  

Solvers™ – TROVE doesn’t sell software, it sells “solvers” – practical bundles of data-science mastery, models and applications that interact with a customer’s data to answer an array of business-critical questions related to customer behavior, grid operations, campaign targeting and network performance.  

Frictionless Functionality™ – Combining open-source technology and enterprise scale, the TROVE Platform can handle data from any system, in any amount, run any model, and deliver usable results that integrate seamlessly with a client’s business applications, ensuring their predictive data-science experience is friction free.  

Science Squad™ – Across industries, data-science expertise is in short supply – except at TROVE. The TROVE Science Squad is esteemed among clients for its accessibility, creativity, and unequaled ability to help them get the best use and most value from their data and the TROVE Platform.

The TROVE Platform is available today in the cloud or on premise. For more information on the TROVE Platform, please see http://ift.tt/2o5pjUT or contact TROVE at info@trovedata.com.

About TROVE TROVE Predictive Data Science, Inc. is an innovator in predictive data-science technology. The breakthrough TROVE Platform, which combines the best in scalability, open-source technology, data fusion, advanced data modeling, and consumer data, as well as data-science expertise and teamwork, makes data useful for the utility, smart-home, and other data-intensive industries. The company is headquartered in Buffalo, NY with an office in Silicon Valley. For more information, please see www.trovedata.com.

Contacts: Business inquiries: Isaias Sudit, TROVE isudit@trovedata.com (561) 501-0354 Media inquiries: Dan Mees, Holland-Mark for TROVE dmees@holland-mark.com (978) 409-2438

Let’s block ads! (Why?)

Originally posted on http://ift.tt/2nzIceS

The post TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – GlobeNewswire (press release) appeared first on Big Data News Magazine.

from TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – GlobeNewswire (press release)

[bigdatanewsmagazine]

TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – GlobeNewswire (press release)

BUFFALO, N.Y., April 04, 2017 (GLOBE NEWSWIRE) — Trove Predictive Data Science, Inc., an innovator in predictive data-science technology and a leader in its application, today is “making data useful” for more enterprise customers with the launch of its namesake offering, the TROVE Platform. Addressing the gap between Big Data’s promise to drive business improvement and the shortcomings of most data-analytics implementations to date, the TROVE Platform is optimized – through its core attributes of Datasynthesis™, Solvers™, Frictionless Functionality™, and Science Squad™ – to do one thing well: create measurable value for an organization by making its data more useful.

“Every company today will need to become a data company,” said Ted Schultz, CEO of TROVE. “And yet study after study has shown the enterprise trying, and failing, to wrest meaningful insights from the growing volume of data it is amassing. The big vendors in the space continue to come at this problem touting high-ticket, proprietary solutions that can effectively ‘boil the ocean’ but can’t tell a grid-operations team which customers will shed load tomorrow, or a customer-service department which customers are about to leave.

“At TROVE, we’ve taken a different approach. We are driven by one guiding principle: making data useful for our clients. Everything in our approach – packaging ready-to-use consumer data, flexible delivery models, use of open-source technology, and affordable pricing – helps our clients make the most of their current systems and gain the benefits of predictive data science quickly and easily. Our obsessive focus on making data useful has produced the TROVE Platform, which marries the computational horsepower of the biggest players with the operational ‘horse sense’ of experienced data scientists to help clients put their data to work in the right ways to meet their business imperatives.”

One such client is home-security giant ADT. Using TROVE, the company has tackled a number of marketing and customer-service challenges, gaining significant cost savings and operational insights in the process. Over the last year, ADT has used the TROVE Platform to make course-corrections to marketing campaigns, turn subjective “hunches” into quantifiable facts to support business decisions, and reduce churn through improved, data-driven customer engagement.

“The data advantage TROVE has delivered us is a significant one,” said Raya Sevilla, SVP of IT at ADT. “When we began to look at how we could use predictive data analytics in our operations, we reviewed the offerings of all the major players. TROVE was the only one that was flexible enough in pricing, technology and ideology to pivot and grow with us as we followed where the data led us. The TROVE Platform, as facilitated by the stellar ‘Science Squad,’ has since proven invaluable, seamlessly working with our legacy systems and across our business units to turn our customer data into an asset to drive and improve our business.”

The TROVE Platform The TROVE Platform features four key capabilities, each of which contributes to making data more useful for clients, and which together deliver companies a predictive data-science performance breakthrough. The four pillars of the TROVE Platform are:

Datasynthesis™ – TROVE’s proprietary process for making a client’s data “prediction ready” by aggregating and normalizing it, then augmenting it with TROVE’s unequalled cache of 3rd party data for precision insights.  

Solvers™ – TROVE doesn’t sell software, it sells “solvers” – practical bundles of data-science mastery, models and applications that interact with a customer’s data to answer an array of business-critical questions related to customer behavior, grid operations, campaign targeting and network performance.  

Frictionless Functionality™ – Combining open-source technology and enterprise scale, the TROVE Platform can handle data from any system, in any amount, run any model, and deliver usable results that integrate seamlessly with a client’s business applications, ensuring their predictive data-science experience is friction free.  

Science Squad™ – Across industries, data-science expertise is in short supply – except at TROVE. The TROVE Science Squad is esteemed among clients for its accessibility, creativity, and unequaled ability to help them get the best use and most value from their data and the TROVE Platform.

The TROVE Platform is available today in the cloud or on premise. For more information on the TROVE Platform, please see http://ift.tt/2o5pjUT or contact TROVE at info@trovedata.com.

About TROVE TROVE Predictive Data Science, Inc. is an innovator in predictive data-science technology. The breakthrough TROVE Platform, which combines the best in scalability, open-source technology, data fusion, advanced data modeling, and consumer data, as well as data-science expertise and teamwork, makes data useful for the utility, smart-home, and other data-intensive industries. The company is headquartered in Buffalo, NY with an office in Silicon Valley. For more information, please see www.trovedata.com.

Contacts: Business inquiries: Isaias Sudit, TROVE isudit@trovedata.com (561) 501-0354 Media inquiries: Dan Mees, Holland-Mark for TROVE dmees@holland-mark.com (978) 409-2438

Let’s block ads! (Why?)

Originally posted on http://ift.tt/2nzIceS

The post TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – GlobeNewswire (press release) appeared first on Big Data News Magazine.

from TROVE “Makes Data Useful” for the Enterprise with Launch of Predictive-Analytics Platform – GlobeNewswire (press release)