22nd Century Technologies Buys TreasurySoft to Expand ERP Capabilities for Federal Market Clients
McLean, Virginia-based 22nd Century Technologies Inc. has acquired TreasurySoft in a transaction that expands its enterprise resource planning practice and capabilities to deliver digital transformation platforms to federal, state, local government and transit agencies.
TSCTI said Tuesday TreasurySoft provides PeopleSoft and Oracle Fusion ERP Treasury Management Systems and other tech platforms that offer real-time insights across cash management, risk management, investment management and other critical financial functions.
“By bringing TreasurySoft into our fold, we are not only expanding our ERP capabilities but also setting the stage to provide tailored solutions that extend and optimize Oracle ERP implementations,” said TSCTI CEO Anil Sharma.
“TreasurySoft’s ability will enable us to deliver more robust, efficient, and integrated solutions on top of existing Oracle platforms,” added Sharma.
TSCTI has more than 400 contracts and approximately 6,000 employees focused on supporting the mission-critical programs of defense, intelligence and federal civilian agencies in digital transformation, cybersecurity, cloud migration and application modernization, among other areas.
De-siloing the enterprise: The challenges and opportunities in data consolidation
A hot topic in the data management space is the argument against data silos. Factors such as generative artificial intelligence and decentralized data infrastructures have intensified the need to embrace the data consolidation ethos.
RelationalAI’s Molham Aref discusses modern data platforms.
What is the imperative to de-silo data operations? And what challenges and opportunities exist as companies move toward interconnected data infrastructures?
“You’re building intelligent applications, and by definition, these applications have to look at data,” said Molham Aref (pictured), chief executive officer of RelationalAI Inc. “The old architecture is where you’re moving a few records of data over to some Java to do something, to book you an airline seat, that doesn’t work anymore. You’re now doing things that require you to predict and you need to look at lots of data. And so, the new architectures will move the semantics and the business logic to the data. And my view is that business logic is going to have to change to fit in the modern data stack.”
Aref spoke with theCUBE Research’s Dave Vellante and George Gilber at the Supercloud 7: Get Ready for the Next Data Platform event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the future of data consolidation as one that integrates and harmonizes data with business logic, creating a seamless and intelligent ecosystem.
Data consolidation: Key players and battles
The last decade has seen significant developments in the data stack. Snowflake Inc. emerged as a dominant force in the database engine space, while Databricks Inc. took the lead in managing data pipelines. The field of data formats is another competition frontier, one that has seen the emergence of Iceberg as a dominant player, according to Aref.
“I think the next layer is about semantics,” he said. “Where do you put application logic and semantics in this new world? And where do you put it in a world where people are asking to rethink applications in terms of intelligent applications?”
One inalienable theme in the various contests across the data stack is openness. The next frontier is the catalog wars, where the aim is to unbundle catalogs from the respective technologies, allowing for greater flexibility and interoperability. This unbundling is a critical step toward the next layer of evolution: semantics.
“Let’s say, I have information about people in my database,” Aref said. “And let’s say there’s an entry for Dave, an entry for George, an entry for Molham. I might want to compute our ages from our birthdays. Now, I can just add an extra column and key in our ages, but that’s not good, because as time passes, I’ll have to keep updating our ages as we all get older. Instead of just storing the raw data, I might put in a bit of business logic that says, ‘A person’s age is equal to today minus their date of birth.’ And anytime someone needs to look up any of our ages, okay, I will just apply the semantics, the business logic.”
In traditional systems, application logic was often written in languages such as Java or COBOL, detached from the data itself. The modern approach expresses business logic relationally, ensuring it coexists seamlessly with the data. This transition to data consolidation is essential for applications that are capable of making predictions and optimizations based on vast amounts of data, according to Aref.
The legacy challenge and path forward
The current state of enterprise data management is a patchwork of thousands of applications, each with its data model and logic. This fragmented architecture is a product of technological constraints and business needs from decades past. However, with advancements in scalability, algorithms and data structures, there is an opportunity to revisit and overhaul these systems, according to Aref.
“Because the relational databases at the time were not powerful enough and scalable enough and their pricing models were such that they were too expensive to run the business logic, as a workaround, we pulled that logic out, we implemented by hand procedurally, because we didn’t have the relational language that could express it declaratively,” he said. “We had to live with this two-brain architecture, where the database had no idea what the application logic was doing. And the application logic didn’t understand databases.”
The goal is to move toward a common model where data and business logic are integrated into a unified framework. This approach simplifies the architecture, reduces redundancy and facilitates better decision-making. Subsequently, a gradual refactoring of legacy applications will occur, bringing forth a modern, data-centric framework, without the need for a disruptive big bang rewrite, Aref added.
Stay tuned for the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the Supercloud 7: Get Ready for the Next Data Platform event.
Photo: SiliconANGLE Your vote of support is important to us and it helps us keep the content FREE. One click below supports our mission to provide free, deep, and relevant content. Join our community on YouTube Join the community that includes more than 15,000 #CubeAlumni experts, including Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger, and many more luminaries and experts.
“TheCUBE is an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate the content you create as well” – Andy Jassy
THANK YOU
De-siloing the enterprise: The challenges and opportunities in data consolidation
A hot topic in the data management space is the argument against data silos. Factors such as generative artificial intelligence and decentralized data infrastructures have intensified the need to embrace the data consolidation ethos.
RelationalAI’s Molham Aref discusses modern data platforms.
What is the imperative to de-silo data operations? And what challenges and opportunities exist as companies move toward interconnected data infrastructures?
“You’re building intelligent applications, and by definition, these applications have to look at data,” said Molham Aref (pictured), chief executive officer of RelationalAI Inc. “The old architecture is where you’re moving a few records of data over to some Java to do something, to book you an airline seat, that doesn’t work anymore. You’re now doing things that require you to predict and you need to look at lots of data. And so, the new architectures will move the semantics and the business logic to the data. And my view is that business logic is going to have to change to fit in the modern data stack.”
Aref spoke with theCUBE Research’s Dave Vellante and George Gilber at the Supercloud 7: Get Ready for the Next Data Platform event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the future of data consolidation as one that integrates and harmonizes data with business logic, creating a seamless and intelligent ecosystem.
Data consolidation: Key players and battles
The last decade has seen significant developments in the data stack. Snowflake Inc. emerged as a dominant force in the database engine space, while Databricks Inc. took the lead in managing data pipelines. The field of data formats is another competition frontier, one that has seen the emergence of Iceberg as a dominant player, according to Aref.
“I think the next layer is about semantics,” he said. “Where do you put application logic and semantics in this new world? And where do you put it in a world where people are asking to rethink applications in terms of intelligent applications?”
One inalienable theme in the various contests across the data stack is openness. The next frontier is the catalog wars, where the aim is to unbundle catalogs from the respective technologies, allowing for greater flexibility and interoperability. This unbundling is a critical step toward the next layer of evolution: semantics.
“Let’s say, I have information about people in my database,” Aref said. “And let’s say there’s an entry for Dave, an entry for George, an entry for Molham. I might want to compute our ages from our birthdays. Now, I can just add an extra column and key in our ages, but that’s not good, because as time passes, I’ll have to keep updating our ages as we all get older. Instead of just storing the raw data, I might put in a bit of business logic that says, ‘A person’s age is equal to today minus their date of birth.’ And anytime someone needs to look up any of our ages, okay, I will just apply the semantics, the business logic.”
In traditional systems, application logic was often written in languages such as Java or COBOL, detached from the data itself. The modern approach expresses business logic relationally, ensuring it coexists seamlessly with the data. This transition to data consolidation is essential for applications that are capable of making predictions and optimizations based on vast amounts of data, according to Aref.
The legacy challenge and path forward
The current state of enterprise data management is a patchwork of thousands of applications, each with its data model and logic. This fragmented architecture is a product of technological constraints and business needs from decades past. However, with advancements in scalability, algorithms and data structures, there is an opportunity to revisit and overhaul these systems, according to Aref.
“Because the relational databases at the time were not powerful enough and scalable enough and their pricing models were such that they were too expensive to run the business logic, as a workaround, we pulled that logic out, we implemented by hand procedurally, because we didn’t have the relational language that could express it declaratively,” he said. “We had to live with this two-brain architecture, where the database had no idea what the application logic was doing. And the application logic didn’t understand databases.”
The goal is to move toward a common model where data and business logic are integrated into a unified framework. This approach simplifies the architecture, reduces redundancy and facilitates better decision-making. Subsequently, a gradual refactoring of legacy applications will occur, bringing forth a modern, data-centric framework, without the need for a disruptive big bang rewrite, Aref added.
Stay tuned for the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the Supercloud 7: Get Ready for the Next Data Platform event.
Photo: SiliconANGLE Your vote of support is important to us and it helps us keep the content FREE. One click below supports our mission to provide free, deep, and relevant content. Join our community on YouTube Join the community that includes more than 15,000 #CubeAlumni experts, including Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger, and many more luminaries and experts.
“TheCUBE is an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate the content you create as well” – Andy Jassy
THANK YOU
22nd Century Technologies Buys TreasurySoft to Expand ERP Capabilities for Federal Market Clients
McLean, Virginia-based 22nd Century Technologies Inc. has acquired TreasurySoft in a transaction that expands its enterprise resource planning practice and capabilities to deliver digital transformation platforms to federal, state, local government and transit agencies.
TSCTI said Tuesday TreasurySoft provides PeopleSoft and Oracle Fusion ERP Treasury Management Systems and other tech platforms that offer real-time insights across cash management, risk management, investment management and other critical financial functions.
“By bringing TreasurySoft into our fold, we are not only expanding our ERP capabilities but also setting the stage to provide tailored solutions that extend and optimize Oracle ERP implementations,” said TSCTI CEO Anil Sharma.
“TreasurySoft’s ability will enable us to deliver more robust, efficient, and integrated solutions on top of existing Oracle platforms,” added Sharma.
TSCTI has more than 400 contracts and approximately 6,000 employees focused on supporting the mission-critical programs of defense, intelligence and federal civilian agencies in digital transformation, cybersecurity, cloud migration and application modernization, among other areas.
De-siloing the enterprise: The challenges and opportunities in data consolidation
A hot topic in the data management space is the argument against data silos. Factors such as generative artificial intelligence and decentralized data infrastructures have intensified the need to embrace the data consolidation ethos.
RelationalAI’s Molham Aref discusses modern data platforms.
What is the imperative to de-silo data operations? And what challenges and opportunities exist as companies move toward interconnected data infrastructures?
“You’re building intelligent applications, and by definition, these applications have to look at data,” said Molham Aref (pictured), chief executive officer of RelationalAI Inc. “The old architecture is where you’re moving a few records of data over to some Java to do something, to book you an airline seat, that doesn’t work anymore. You’re now doing things that require you to predict and you need to look at lots of data. And so, the new architectures will move the semantics and the business logic to the data. And my view is that business logic is going to have to change to fit in the modern data stack.”
Aref spoke with theCUBE Research’s Dave Vellante and George Gilber at the Supercloud 7: Get Ready for the Next Data Platform event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the future of data consolidation as one that integrates and harmonizes data with business logic, creating a seamless and intelligent ecosystem.
Data consolidation: Key players and battles
The last decade has seen significant developments in the data stack. Snowflake Inc. emerged as a dominant force in the database engine space, while Databricks Inc. took the lead in managing data pipelines. The field of data formats is another competition frontier, one that has seen the emergence of Iceberg as a dominant player, according to Aref.
“I think the next layer is about semantics,” he said. “Where do you put application logic and semantics in this new world? And where do you put it in a world where people are asking to rethink applications in terms of intelligent applications?”
One inalienable theme in the various contests across the data stack is openness. The next frontier is the catalog wars, where the aim is to unbundle catalogs from the respective technologies, allowing for greater flexibility and interoperability. This unbundling is a critical step toward the next layer of evolution: semantics.
“Let’s say, I have information about people in my database,” Aref said. “And let’s say there’s an entry for Dave, an entry for George, an entry for Molham. I might want to compute our ages from our birthdays. Now, I can just add an extra column and key in our ages, but that’s not good, because as time passes, I’ll have to keep updating our ages as we all get older. Instead of just storing the raw data, I might put in a bit of business logic that says, ‘A person’s age is equal to today minus their date of birth.’ And anytime someone needs to look up any of our ages, okay, I will just apply the semantics, the business logic.”
In traditional systems, application logic was often written in languages such as Java or COBOL, detached from the data itself. The modern approach expresses business logic relationally, ensuring it coexists seamlessly with the data. This transition to data consolidation is essential for applications that are capable of making predictions and optimizations based on vast amounts of data, according to Aref.
The legacy challenge and path forward
The current state of enterprise data management is a patchwork of thousands of applications, each with its data model and logic. This fragmented architecture is a product of technological constraints and business needs from decades past. However, with advancements in scalability, algorithms and data structures, there is an opportunity to revisit and overhaul these systems, according to Aref.
“Because the relational databases at the time were not powerful enough and scalable enough and their pricing models were such that they were too expensive to run the business logic, as a workaround, we pulled that logic out, we implemented by hand procedurally, because we didn’t have the relational language that could express it declaratively,” he said. “We had to live with this two-brain architecture, where the database had no idea what the application logic was doing. And the application logic didn’t understand databases.”
The goal is to move toward a common model where data and business logic are integrated into a unified framework. This approach simplifies the architecture, reduces redundancy and facilitates better decision-making. Subsequently, a gradual refactoring of legacy applications will occur, bringing forth a modern, data-centric framework, without the need for a disruptive big bang rewrite, Aref added.
Stay tuned for the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the Supercloud 7: Get Ready for the Next Data Platform event.
Photo: SiliconANGLE Your vote of support is important to us and it helps us keep the content FREE. One click below supports our mission to provide free, deep, and relevant content. Join our community on YouTube Join the community that includes more than 15,000 #CubeAlumni experts, including Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger, and many more luminaries and experts.
“TheCUBE is an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate the content you create as well” – Andy Jassy
THANK YOU
22nd Century Technologies Buys TreasurySoft to Expand ERP Capabilities for Federal Market Clients
McLean, Virginia-based 22nd Century Technologies Inc. has acquired TreasurySoft in a transaction that expands its enterprise resource planning practice and capabilities to deliver digital transformation platforms to federal, state, local government and transit agencies.
TSCTI said Tuesday TreasurySoft provides PeopleSoft and Oracle Fusion ERP Treasury Management Systems and other tech platforms that offer real-time insights across cash management, risk management, investment management and other critical financial functions.
“By bringing TreasurySoft into our fold, we are not only expanding our ERP capabilities but also setting the stage to provide tailored solutions that extend and optimize Oracle ERP implementations,” said TSCTI CEO Anil Sharma.
“TreasurySoft’s ability will enable us to deliver more robust, efficient, and integrated solutions on top of existing Oracle platforms,” added Sharma.
TSCTI has more than 400 contracts and approximately 6,000 employees focused on supporting the mission-critical programs of defense, intelligence and federal civilian agencies in digital transformation, cybersecurity, cloud migration and application modernization, among other areas.
Innovative Data Strategies: Leveraging AI For Smarter Enterprise Operations
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Innovative Data Strategies: Leveraging AI For Smarter Enterprise Operations
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Are AI And BPO Natural Bedfellows?”,”scope”:{“topStory”:{“index”:7,”title”:”Are AI And BPO Natural Bedfellows?”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9ada3d7e765a91bfb70f/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”08:45″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723639500000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/are-ai-and-bpo-natural-bedfellows/”}},”id”:”50d344hf4cig0″},{“textContent”:”
Aug 14, 2024,08:30am EDT
Quantifying The ROI Of Generative AI With A Focus On Cost-Efficiency”,”scope”:{“topStory”:{“index”:8,”title”:”Quantifying The ROI Of Generative AI With A Focus On Cost-Efficiency”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9a38819d80a518672939/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”08:30″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723638600000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/quantifying-the-roi-of-generative-ai-with-a-focus-on-cost-efficiency/”}},”id”:”7o8krjp65n7400″}],”breakpoints”:[{“breakpoint”:”@media all and (max-width: 767px)”,”config”:{“enabled”:false}},{“breakpoint”:”@media all and (max-width: 768px)”,”config”:{“inView”:2,”slidesToScroll”:1}},{“breakpoint”:”@media all and (min-width: 1681px)”,”config”:{“inView”:6}}]};
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Oracle Business Intelligence (BI) Platform Transforming Your Organization with the Power of Business Intelligence Share Share Oracle Business Intelligence (BI) Platform – BI / DW Insider Share Email Hyperion Solutions - Wikipedia With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and…
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Global Edge Data Center Market Predicted to Cross… Business Intelligence and Analytics Fusion Introduces New AI-Powered Scenario Simulation and Intelligence Suite Fusion Risk Management (Fusion), a provider of cloud-based operational resilience, business continuity, and risk management solutions, is releasing its new Scenario Simulation and Intelligence suite—enabling companies to simulate thousands of possible scenarios against their resilience plans and strategies to identify points of weakness at scale. Posted August 14, 2024 Ridge Security Enhances Proactive Exposure Management with RidgeBot 4.3.3 Ridge Security Technology Inc. is releasing RidgeBot version 4.3.3, introducing a powerful integration that enhances proactive exposure management for organizations—combining RidgeBot’s automated vulnerability detection and validation capabilities with leading…
Business Intelligence Improved Decision Making How AI Can Power Brand Management Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it encompasses multiple activities designed to build the reputation and image of a business—such as crafting and communicating the brand story, ensuring that the product or service and its price reflect the brand’s competitive positioning, and managing customer relationships to forge loyalty to the brand. A brand is a promise to customers about the quality, style, reliability, and aspiration…
The Rise Of Multidimensional Data in HR Innovative Data Strategies: Leveraging AI For Smarter Enterprise Operations Aug 14, 2024,10:15am EDT From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”scope”:{“topStory”:{“index”:1,”title”:”From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9eaf2f4db016e24d098c/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:15″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644900000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/from-hidden-energy-to-high-performance-how-to-engage-introverts-to-optimize-workplace-dynamics/”}},”id”:”3cdprf7g2i5000″},{“textContent”:” Aug 14, 2024,10:00am EDT ETL (Extract, Transform and Load) Definition: What does ETL mean The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”scope”:{“topStory”:{“index”:2,”title”:”The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9df512367aad52f0b0e5/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644000000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/the-best-recipes-for-human-connection-in-healthcare-combine-digital-and-analog-ingredients/”}},”id”:”2g9401pdpj3g00″},{“textContent”:” Aug 14, 2024,09:45am EDT Overcoming The Challenges Of Using AI Chatbots In Healthcare”,”scope”:{“topStory”:{“index”:3,”title”:”Overcoming The Challenges Of Using…
The Rise Of Multidimensional Data in HR Innovative Data Strategies: Leveraging AI For Smarter Enterprise Operations Aug 14, 2024,10:15am EDT From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”scope”:{“topStory”:{“index”:1,”title”:”From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9eaf2f4db016e24d098c/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:15″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644900000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/from-hidden-energy-to-high-performance-how-to-engage-introverts-to-optimize-workplace-dynamics/”}},”id”:”3cdprf7g2i5000″},{“textContent”:” Aug 14, 2024,10:00am EDT ETL (Extract, Transform and Load) Definition: What does ETL mean The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”scope”:{“topStory”:{“index”:2,”title”:”The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9df512367aad52f0b0e5/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644000000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/the-best-recipes-for-human-connection-in-healthcare-combine-digital-and-analog-ingredients/”}},”id”:”2g9401pdpj3g00″},{“textContent”:” Aug 14, 2024,09:45am EDT Overcoming The Challenges Of Using AI Chatbots In Healthcare”,”scope”:{“topStory”:{“index”:3,”title”:”Overcoming The Challenges Of Using…
The Four Pillars of Business Intelligence Transforming Your Organization with the Power of Business Intelligence Share Share How to Transform your Business With Power BI - Atidan Technology Share Email Microsoft Power BI Data Visualization Business intelligence With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to…
Talent Intelligence: Unlocking The Power Of… Talent Intelligence: Unlocking The Power Of Multidimensional Data Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. getty In the age of data-driven decision-making, the significance of structured, multidimensional data cannot be overstated. This data type forms the backbone of advanced AI systems, facilitating nuanced insights and predictive analytics essential for modern business strategies, including talent management. Microsoft Business Intelligence – Business Excellence Data-Driven Recruiting And Talent Management Companies that harness data in talent management have seen remarkable improvements in both efficiency and insights into workforce dynamics.…
Talent Intelligence: Unlocking The Power Of… Talent Intelligence: Unlocking The Power Of Multidimensional Data Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. getty In the age of data-driven decision-making, the significance of structured, multidimensional data cannot be overstated. This data type forms the backbone of advanced AI systems, facilitating nuanced insights and predictive analytics essential for modern business strategies, including talent management. Microsoft Business Intelligence – Business Excellence Data-Driven Recruiting And Talent Management Companies that harness data in talent management have seen remarkable improvements in both efficiency and insights into workforce dynamics.…
What is Business Intelligence (BI): Complete Implementation Transforming Your Organization with the Power of Business Intelligence Share Share Understanding Business Intelligence Through Modernizing ETL Share Email How to choose the right ETL tool? Bismart Partner Power BI With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over…
The 10 Biggest Microsoft News Stories Of 2024 (So Far) The 10 Biggest Microsoft News Stories Of 2024 (So Far) New partner program investments, AI innovation and cloud outages are among the biggest headlines so far. New partner program investments. Innovation in the artificial intelligence portfolio. And cloud outages and concerns around security. These are some of the ways Microsoft has captured headlines in 2024 so far as the Redmond, Wash.-based tech giant rides high on its role as one of the biggest companies in the growing AI space. Microsoft Business Intelligence – Business Excellence Microsoft CEO Satya Nadella – named in July as CRN’s No. 1 Most Influential Executive…
Artificial Intelligence Stocks: The 10 Best AI Companies Artificial Intelligence Stocks: The 10 Best AI Companies Artificial intelligence, automation and robotics are disrupting virtually every industry. Remarkable advances in AI technology — including OpenAI’s ChatGPT AI chatbot, GitHub’s Copilot AI code generation software and Google’s Gemini AI model — are now familiar names for many. [Sign up for stock news with our Invested newsletter.] Whether it be machine learning, large language models, smart applications and appliances, digital assistants, synthetic media software, or autonomous vehicles, companies that aren’t investing in AI products and services risk becoming obsolete. Countless companies stand to benefit from AI, but a handful of stocks…
Microsoft Dynamics vs. Salesforce: Comparison 2024… Microsoft Dynamics vs. Salesforce: Comparison 2024 Salesforce vs. Microsoft Dynamics 365 Overview Salesforce’s Sales Hub and Microsoft Dynamics 365 Sales are similar products that offer most of the CRM features you expect to find in standalone CRM software. We compare these two as the primary CRM offerings from both providers, though other products exist for marketing, customer service and other work management functions. Salesforce is a highly customizable CRM that teams can configure for almost any business need, while Microsoft Dynamics 365 serves as a centralized place for customer data for teams that already use it. Salesforce vs. Microsoft Dynamics…
Microsoft Dynamics vs. Salesforce: Comparison 2024… Microsoft Dynamics vs. Salesforce: Comparison 2024 Salesforce vs. Microsoft Dynamics 365 Overview Salesforce’s Sales Hub and Microsoft Dynamics 365 Sales are similar products that offer most of the CRM features you expect to find in standalone CRM software. We compare these two as the primary CRM offerings from both providers, though other products exist for marketing, customer service and other work management functions. Salesforce is a highly customizable CRM that teams can configure for almost any business need, while Microsoft Dynamics 365 serves as a centralized place for customer data for teams that already use it. Salesforce vs. Microsoft Dynamics…
Microsoft announces Power BI Premium Microsoft announces Power BI Premium Microsoft is expanding its business analytics and intelligence portfolio with the announcement of Power BI Premium. Power BI Premium is an extension of the company’s Power BI solution that provides improved performance for larger data volumes. “Power BI was first made generally available in July 2015. Since then, Microsoft’s driving vision for Power BI has been to enable users across roles, disciplines and industries to sign up for the service in seconds and get business value by drawing insights from their data within minutes,” Kamal Hathi, general manager at Microsoft, wrote in a post. “Power…