‘Data teams are critical in defining and driving business growth metrics’ says Gaurav Rewari, CEO of Mode.

Gaurav Rewari, CEO of Mode elaborates on his role as a CEO of Mode Analytics, the most comprehensive platform for collaborative Business Intelligence and Interactive Data Science. Read on to know more about his thoughts on digitization and Mode's brand-new visualization tool, Visual Explorer.

As data professionals, our job is to figure out how to communicate our findings to new audiences

MEDIA 7. Thanks for your time! Could you please tell us about your professional experience of around 15 years and how it has helped you play your current role at Mode?
GAURAV REWARI:
My entry into the business analytics field was quite unplanned. After completing my master’s degree, I finished up my coursework for a doctorate in electrical engineering and decided to take a 1-year break to work in the industry before returning to finish up my thesis. At the time, my interest was in signal processing and control systems and applying these techniques to things like detection of saccadic motion of eyes useful for applications such as monitoring recovery in stroke patients and drowsiness in train operators. But, almost on a whim, I decided that it might be fun to try something completely different and I joined a small business analytics company started by some MIT alumni a few years senior to me. The company, called MicroStrategy, was building decision support systems on top of consolidated data sets, or data warehouses as they came to be called. I ended up greatly enjoying the experience: the company was in an exciting growth phase, we were bringing innovative products to market, and I made some wonderful friends. I decided to push off my plans to return to academia by one more year. And then another, and another. And that N+1 sequence never really ended, so here I am.

I was an early employee and the first product manager at MicroStrategy, where I became part of an executive management team that launched some of the BI industry’s category-defining products, and helped grow MicroStrategy from single-digit millions in revenue through its IPO and beyond. After that, I co-founded two leading SaaS analytics startups: FirstRain, a venture-backed leader in SaaS search-based market intelligence; and Numerify, a leader in SaaS Business Analytics that was acquired by Digital.ai. In between those companies, I served as VP of product management at Oracle for its $2.5 Billion Analytics business, which included the Hyperion, Oracle Business Intelligence and Siebel Analytics product lines.

In my current role as CEO of Mode Analytics, the most comprehensive platform for collaborative Business Intelligence and Interactive Data Science, I am focused on leading the company through its next phase of rapid growth.

M7: Could you please give our readers an insight into Mode? What are the core values that drive the company to be one of the leaders in the data analytics industry?
GR: 
Mode Analytics was co-founded by Derek Steer, Benn Stancil and Josh Ferguson, for the purpose of helping organizations make better decisions. All three co-founders are great at solving complex problems through the use of data. They met while working at Yammer, where they were asked to build new tools that would allow a deeper understanding of the business dynamics, and quickly recognized that data scientists at other companies were experiencing a similar need. Consequently, they decided to start Mode and introduce a collaborative Business Intelligence (BI) platform built by data scientists for data scientists. A lot of things can be conveyed by a name. “Mode” isn’t just a statistical term, it also has the connotation of “a common way of doing things.” One of the reasons I joined is because it was clear to me from the start that Mode has always been about people — our customers, as well as each other — collaborating and working as a team. Today, there are organizations using Mode to help fight COVID, bring internet access to schools, and further many other worthy causes.

Read More: ‘Today’s market is beyond B2B, it's business to humans (B2H),' says AvePoint’s, Dux Raymond Sy


I would describe digital transformation as really being about activating digital channels to engage with customers, partners and employees


M7: Mode recently launched their brand-new visualization tool Visual Explorer. How does it help analysts to make the exploratory process faster and easier?
GR:
As data professionals, our job is to figure out how to communicate our findings to new audiences. We know our co-workers should be interested in our data since it contains information that can help them excel in their jobs. But in most companies, data is not always presented in ways that are simple to interpret. Some people can quickly grasp numbers in spreadsheets, but others cannot. Some prefer simple charts that tell a clear narrative, and others want more complex visualizations that draw them in. People see and understand data differently, and what might be obvious to one person might not be evident to someone else.

To cater to this diversity of information consumption preferences, we recently introduced Visual Explorer, a new flexible visualization system, back-ended by Helix, our award-winning responsive data engine, that helps analysts and business stakeholders to visualize and communicate the insights they have uncovered in extremely powerful and effective ways. Building upon Mode’s unique ability to combine BI and Data Science, Visual Explorer brings together the workflows of analysts and business users in a way that has never been done before. This capability is critical to answering questions quickly and advancing knowledge across the organization, and the early adoption of this has been very exciting to see.

M7: What is your approach towards driving business growth for the customer and what are the strategies you follow?
GR:
In businesses that are undergoing digital transformation or are digital natives, a central theme of strategy is to use data to make rapid strategic business decisions. Our primary contact with new customers is usually with the data team, and with skilled analysts across the organizations, we serve. In most modern, digitized businesses, data teams are critical in defining and driving business growth metrics. Our methodology is to provide an agile, collaborative environment for analysts and data scientists to share their work with business stakeholders throughout their organizations. From there, we typically see business users start to adopt our platform, as well. We have a rapid onboarding process for new customers and our Customer Success team works closely with our new customer contacts to ensure that the use of our platform is creating tangible and sustainable business value

Read More : Oculeus' AI-driven capabilities identify suspicious communications traffic within milliseconds, elaborates founder and CEO, Arnd Baranowski


When it comes to digital transformation enterprises need to be very clear about the outcomes they wish to realize


M7: What do you think is essential to stay competitive in a market that is going through constant digitalization?
GR:
I would describe digital transformation as really being about activating digital channels to engage with customers, partners and employees. This involves the implementation of new technologies, talent and processes as part of a company-wide initiative typically led by the CEO working with CIOs, CHROs and functional leaders. The investments being made in digital transformation are nothing short of staggering: reaching $6.8 trillion by 2023, per IDC, and all for good reasons: increasing productivity and operational efficiency, improving business agility and consumer engagement. When it comes to digital transformation enterprises need to be very clear about the outcomes they wish to realize. The recent work of Dr Jeanne Ross of MIT’s Sloan School of Management is particularly relevant here. She points out that while optimizing existing business models is important to achieve greater scale and efficiency, to maximize customer value one needs to transform and reinvent the existing business to a new one through rapid innovation. It’s the difference between becoming a digitized business versus a digital business.

On a practical level, for traditional companies, digital transformation could translate to consumer-grade mobile applications, new eCommerce platforms and other digital products geared towards opening up new revenue streams. This puts software development, and the ability to move as quickly as a software company, at the core of the digital transformation challenge for traditional companies.

M7: What is your marketing mantra to stand out in an overly saturated Technology space?
GR:
As an analytics company, we believe that it is important to use data signals wherever possible to drive our business decisions. We also believe that it is critical to put our customers at the centre of everything we do. So, our mantra is to combine data with the customer's voice in order to create the best product and the best user experience.

ABOUT MODE

Mode is an advanced analytics platform designed by data experts for data experts. It allows data scientists and analysts to visualize, analyze, and share data using a powerful end-to-end workflow that covers everything from early data exploration stages to presentation-ready shareable products. Unlike traditional business intelligence tools that produce static dashboards and reports, Mode brings the best of BI and data science together in a single platform, empowering everyone at your organization to use data to make high quality, high-velocity decisions. Mode also supports the analytics community with free learning resources such as SQL School, open-source SQL queries, and free tools for anyone analyzing public data.

More C-Suite on deck

Listen to your customers, advises Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai

Media 7 | November 16, 2021

Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai shared his insights with us on how marketers can make better use of data, attribution models and natural language processing to promote conversions and increase customer engagement. Read on to find out about his three-part strategy for successful marketing campaigns.

Read More

‘Advances in AI and Machine Learning are not scalable without proper data governance program in place’ says Peggy Tsai, Chief Data Officer at BigID

Media 7 | March 8, 2022

Peggy Tsai, Chief Data Officer at BigID talks about BigID’s data intelligence platform and its integrated applications. Read on to know more about her thoughts on GDPR compliance, the future data intelligence landscape and more in her latest interview with Media 7.

Read More

'Raising the voices of those who may not always be heard is critical,' says Claire Thomas

Media 7 | April 28, 2023

Claire Thomas is responsible for developing and implementing a strategy for diversity, equity, and inclusion (DEI) across Hitachi Vantara through programs that reflect the diverse backgrounds, interests, and passions of their current and future workforce. Continue reading to learn her views on the significance of inclusion and diversity in an organization.

Read More

Listen to your customers, advises Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai

Media 7 | November 16, 2021

Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai shared his insights with us on how marketers can make better use of data, attribution models and natural language processing to promote conversions and increase customer engagement. Read on to find out about his three-part strategy for successful marketing campaigns.

Read More

‘Advances in AI and Machine Learning are not scalable without proper data governance program in place’ says Peggy Tsai, Chief Data Officer at BigID

Media 7 | March 8, 2022

Peggy Tsai, Chief Data Officer at BigID talks about BigID’s data intelligence platform and its integrated applications. Read on to know more about her thoughts on GDPR compliance, the future data intelligence landscape and more in her latest interview with Media 7.

Read More

'Raising the voices of those who may not always be heard is critical,' says Claire Thomas

Media 7 | April 28, 2023

Claire Thomas is responsible for developing and implementing a strategy for diversity, equity, and inclusion (DEI) across Hitachi Vantara through programs that reflect the diverse backgrounds, interests, and passions of their current and future workforce. Continue reading to learn her views on the significance of inclusion and diversity in an organization.

Read More

Related News

Business Strategy

Devo Security Data Platform Attains FedRAMP Authorization

Devo | January 09, 2024

Devo Technology, the security data analytics company, today announced that the Devo Security Data Platform received Authorization to Operate (ATO) at the Moderate level under the Federal Risk and Authorization Management Program (FedRAMP). The Devo Security Data Platform successfully completed FedRAMP's rigorous accreditation process, enabling federal agencies to secure their environments with a market-leading security information and event management (SIEM). Agencies and their partners can now leverage Devo to solve their toughest IT and security challenges with unparalleled visibility and a unified view of risk posture, security operations and the threat landscape. The demand to keep pace with rapidly evolving cyber threats at cloud speed and scale has never been higher for the U.S. government. New Office of Management and Budget (OMB) regulations require federal agencies to collect and retain logs for long time periods. These requirements strain legacy SIEM and logging solutions, resulting in higher license and maintenance costs and slower query times. The Devo Security Data Platform's massive ingestion capabilities overcome these challenges and enable agencies to manage petabytes of data—from any device or application—cost-effectively and performantly in the cloud. Kayla Williams, CISO, Devo, said: "Devo relentlessly maintains the highest standards of internal security controls to ensure customers can protect themselves from security threats with peace of mind. Commercial customers have used the Devo Security Data Platform in the cloud for years, and this milestone enables us to continue to extend the same seamless experience to federal agencies and their partners." The Small Business Administration sponsored Devo's authorization. FedRAMP was established to provide a cost-effective, risk-based approach for the adoption and use of cloud services by the federal government. FedRAMP empowers agencies to use modern cloud technologies with an emphasis on the security and protection of federal information. The Devo Security Data Platform is also available in the AWS GovCloud Marketplace, an isolated AWS Region designed to host sensitive data and regulated workloads in the cloud, assisting customers with U.S. federal, state and local government compliance requirements. About Devo Devo unleashes the power of the SOC. The Devo Security Data Platform, powered by our HyperStream technology, is purpose-built to provide the speed and scale, real-time analytics, and actionable intelligence global enterprises need to defend expanding attack surfaces. An ally in keeping your organization secure, Devo combines the power of people and AI to augment security teams, leading to better insights and faster outcomes. Headquartered in Cambridge, Massachusetts, with operations in North America, Europe and Asia Pacific, Devo is backed by Insight Partners, Georgian, TCV, General Atlantic, Bessemer Venture Partners, Kibo Ventures and Eurazeo. Learn more at www.devo.com.

Read More

Big Data Management

Radiant Logic Announces RadiantOne AI, with New Generative AI Data Assistant “AIDA”

Radiant Logic | January 11, 2024

Radiant Logic, the Identity Data Fabric company, today unveiled RadiantOne AI, its data lake powered Artificial Intelligence engine, and AIDA, its Generative AI Data Assistant. RadiantOne AI is designed to complement your existing tech stack and governance products by correlating data across multiple sources and providing contextual information to drive better decision making. The result is a radical reduction in the time and resources needed to gather the data required to effectively meet audit demands—meaning fewer security gaps and increased compliance with organizational policies. The first capability to be unveiled on RadiantOne AI is a truly automated user access review (UAR) process, expertly guided by AIDA. Many business leaders are familiar with the tedious UAR process – it’s crucial for demonstrating compliance and improving organizational security posture. But laborious processes can often end in a “bulk approval” to save time and check an audit box instead of accurately reviewing access rights to ensure the right business outcomes. RadiantOne’s AI-driven approach will be a paradigm shift in the way people work, forever transforming and streamlining the usually time-consuming UAR process down to days and minutes instead of months. “Historically, user access reviews are a highly manual process–a ‘necessary evil’ within security practices. This approach not only creates fatigue for the team but also introduces a considerable amount of risk,” says Dr. John Pritchard, Chief Product Officer at Radiant Logic. “While this may work in the short term to satisfy auditor requirements, the company’s assets are never truly protected. There is also still the risk that something may be overlooked, or someone within the business has retained access to something they shouldn’t. With RadiantOne AI and AIDA, existing IAM and IGA processes can be automated and simplified for overworked teams trying to comb through mountains of user access data to make the right decisions to protect their organizations.” With RadiantOne AI, conducting a user access review becomes as easy as following AIDA’s guidance. Using the power of large language models to drive advanced data correlation, contextualization and analysis, combined with an intuitive data visualization dashboard, AIDA will reinvent the user access review ritual. Based on an organization's proprietary data, the fully guided UAR experience will allow reviewers to interact and pose questions to AIDA using natural human language, like “where does this access come from?” or “show me who else has these access rights?” AIDA will highlight any potential user access risks, offer expert insight, and suggest remediations or access modifications based on an organization’s policies. Any changes, such as low risk bulk access approvals or revoking atypical access rights, are completed via a click of a button, so there’s less training required to complete the reviews and less risk of human error during the process. RadiantOne AI’s AIDA-guided user access review capability works to provide enterprise organizations with: Automated workflows: Leverage vast data sets and contextual insights to make intelligent and confident decisions about access rights. Simplified compliance: Easily detect over-privileged accounts or atypical access rights with intuitive data visualization techniques. Greater visibility into user actions: Get beyond roles quickly to see who has access to what and how they received that access so insights and remediations are easily actionable. Click-button remediation: Based on the insights and recommendations from AIDA, reviewers can approve or revoke access or atypical rights individually or take bulk approval/rejection actions with the click of a button. Data into the hands of business owners: Put relevant, risk-based identity data insights into the hands of business users in the language they understand to make it a breeze to adhere to compliance policies. “User access reviews with AIDA are just the beginning,” comments Joe Sander, Radiant Logic’s CEO. “Using RadiantOne’s AI engine, we see potential to revolutionize identity data management, governance, risk, compliance and cybersecurity processes by removing complexity as a roadblock. This frees up critical IT and security resources to focus on other business-critical tasks and expands the role of identity to truly be a business enabler.” RadiantOne AI comes on the heels of the completion of the integration of Brainwave Identity Analytics into the RadiantOne Identity Data Platform. AIDA will initially be available as a complement to the RadiantOne Identity Analytics solution. About Radiant Logic Radiant Logic, the identity data experts, helps organizations turn identity data into a strategic asset that drives automated governance, enhanced security, and operational efficiency. Our RadiantOne Identity Data Platform removes complexity as a roadblock to identity-first strategies by creating an authoritative data source for real-time, context-aware controls. We provide visibility and actionable insights to intelligently detect and remediate risk using AI/ML-powered identity analytics. With RadiantOne, organizations are able to tap into the wealth of information across the infrastructure, combining context and analytics to deploy governance that works for the most advanced use cases.

Read More

Machine Learning

InterSystems Introduces Two New Cloud-Native Smart Data Services to Accelerate Database and Machine Learning Application Development

InterSystems | January 12, 2024

InterSystems, a creative data technology provider dedicated to helping customers solve their most critical scalability, interoperability, and speed problems, today announced general availability of the InterSystems IRIS Cloud SQL and InterSystems IRIS Cloud IntegratedML® services. These fully managed cloud-native smart data services empower developers to build cloud-native database and machine learning (ML) applications in SQL environments with ease. With Cloud SQL and Cloud IntegratedML, developers can access a next generation relational database-as-a-service (DBaaS) that is fast and easy to provision and use. Embedded AutoML capabilities allow developers to easily develop and execute machine learning models with just a few SQL-like commands in a fully-managed, elastic cloud-native environment. Shaping a complete data management portfolio for mission-critical applications As part of the InterSystems Cloud portfolio of smart data services, Cloud SQL and Cloud IntegratedML provide application developers with access to InterSystems proven enterprise-class capabilities as self-service, fully managed offerings on Amazon Web Services (AWS), while providing a fast and seamless on-ramp to the full suite of capabilities in InterSystems IRIS® data platform. InterSystems IRIS is a next-generation data platform designed for organizations implementing smart data fabrics that provide powerful database management, integration, and application development capabilities. By consolidating these capabilities into a single product, InterSystems IRIS accelerates the time it takes to realize value from data, simplifies overall system architectures, and reduces both maintenance effort and costs. “We are excited for the capabilities of InterSystems IRIS to be exposed through these new, easy to deploy and easy to use services,” said Scott Gnau, Global Head of Data Platforms at InterSystems. “With native support for AutoML, we give developers the power to build comprehensive, predictive, and prescriptive applications.” Fully managed, enterprise-class reliability with InterSystems IRIS Cloud SQL Cloud SQL makes it easy for application developers to leverage advanced relational database capabilities as a fully managed, secure, scalable, high performance, highly available cloud-native database-as-a-service (DBaaS). Cloud SQL delivers the following benefits for SQL developers: Extremely high performance, especially for ingesting and processing incoming data and performing SQL queries on the data with low latency at scale Fast and easy to provision and use Ability to easily connect client applications via JDBC, ODBC, DB-API, and ADO.NET drivers Automated security, data encryption, and backups Automation of machine learning tasks with InterSystems IRIS Cloud IntegratedML Available as an additional cloud managed service for InterSystems IRIS Cloud SQL customers, Cloud IntegratedML extends the capabilities of Cloud SQL to enable SQL developers to quickly build, tune, and execute machine learning models with just a few SQL-like commands, without moving or copying data to a different environment. A significant advantage of Cloud IntegratedML is the elimination of the need to transfer or replicate data to an external platform to build ML models, or to move ML models to a different environment for execution. Cloud IntegratedML delivers the following benefits for SQL developers: Automation of machine learning processes and resource-intensive tasks such as feature engineering, model development, and fine-tuning Seamless integration of models developed and trained with Cloud IntegratedML within Cloud SQL, facilitating real-time predictive insights and prescriptive actions in response to events and transactions This comprehensive suite of smart data services establishes the InterSystems Cloud portfolio of smart data services as an optimal choice for SQL developers seeking a robust, high-performance database solution tailored to their needs. The new Cloud SQL and Cloud IntegratedML services are available through InterSystems Developer Hub. About InterSystems Established in 1978, InterSystems is the leading provider of next-generation solutions for enterprise digital transformations in the healthcare, finance, manufacturing, and supply chain sectors. Its cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems is committed to excellence through its award-winning, 24×7 support for customers and partners in more than 80 countries. Privately held and headquartered in Cambridge, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

Read More

Business Strategy

Devo Security Data Platform Attains FedRAMP Authorization

Devo | January 09, 2024

Devo Technology, the security data analytics company, today announced that the Devo Security Data Platform received Authorization to Operate (ATO) at the Moderate level under the Federal Risk and Authorization Management Program (FedRAMP). The Devo Security Data Platform successfully completed FedRAMP's rigorous accreditation process, enabling federal agencies to secure their environments with a market-leading security information and event management (SIEM). Agencies and their partners can now leverage Devo to solve their toughest IT and security challenges with unparalleled visibility and a unified view of risk posture, security operations and the threat landscape. The demand to keep pace with rapidly evolving cyber threats at cloud speed and scale has never been higher for the U.S. government. New Office of Management and Budget (OMB) regulations require federal agencies to collect and retain logs for long time periods. These requirements strain legacy SIEM and logging solutions, resulting in higher license and maintenance costs and slower query times. The Devo Security Data Platform's massive ingestion capabilities overcome these challenges and enable agencies to manage petabytes of data—from any device or application—cost-effectively and performantly in the cloud. Kayla Williams, CISO, Devo, said: "Devo relentlessly maintains the highest standards of internal security controls to ensure customers can protect themselves from security threats with peace of mind. Commercial customers have used the Devo Security Data Platform in the cloud for years, and this milestone enables us to continue to extend the same seamless experience to federal agencies and their partners." The Small Business Administration sponsored Devo's authorization. FedRAMP was established to provide a cost-effective, risk-based approach for the adoption and use of cloud services by the federal government. FedRAMP empowers agencies to use modern cloud technologies with an emphasis on the security and protection of federal information. The Devo Security Data Platform is also available in the AWS GovCloud Marketplace, an isolated AWS Region designed to host sensitive data and regulated workloads in the cloud, assisting customers with U.S. federal, state and local government compliance requirements. About Devo Devo unleashes the power of the SOC. The Devo Security Data Platform, powered by our HyperStream technology, is purpose-built to provide the speed and scale, real-time analytics, and actionable intelligence global enterprises need to defend expanding attack surfaces. An ally in keeping your organization secure, Devo combines the power of people and AI to augment security teams, leading to better insights and faster outcomes. Headquartered in Cambridge, Massachusetts, with operations in North America, Europe and Asia Pacific, Devo is backed by Insight Partners, Georgian, TCV, General Atlantic, Bessemer Venture Partners, Kibo Ventures and Eurazeo. Learn more at www.devo.com.

Read More

Big Data Management

Radiant Logic Announces RadiantOne AI, with New Generative AI Data Assistant “AIDA”

Radiant Logic | January 11, 2024

Radiant Logic, the Identity Data Fabric company, today unveiled RadiantOne AI, its data lake powered Artificial Intelligence engine, and AIDA, its Generative AI Data Assistant. RadiantOne AI is designed to complement your existing tech stack and governance products by correlating data across multiple sources and providing contextual information to drive better decision making. The result is a radical reduction in the time and resources needed to gather the data required to effectively meet audit demands—meaning fewer security gaps and increased compliance with organizational policies. The first capability to be unveiled on RadiantOne AI is a truly automated user access review (UAR) process, expertly guided by AIDA. Many business leaders are familiar with the tedious UAR process – it’s crucial for demonstrating compliance and improving organizational security posture. But laborious processes can often end in a “bulk approval” to save time and check an audit box instead of accurately reviewing access rights to ensure the right business outcomes. RadiantOne’s AI-driven approach will be a paradigm shift in the way people work, forever transforming and streamlining the usually time-consuming UAR process down to days and minutes instead of months. “Historically, user access reviews are a highly manual process–a ‘necessary evil’ within security practices. This approach not only creates fatigue for the team but also introduces a considerable amount of risk,” says Dr. John Pritchard, Chief Product Officer at Radiant Logic. “While this may work in the short term to satisfy auditor requirements, the company’s assets are never truly protected. There is also still the risk that something may be overlooked, or someone within the business has retained access to something they shouldn’t. With RadiantOne AI and AIDA, existing IAM and IGA processes can be automated and simplified for overworked teams trying to comb through mountains of user access data to make the right decisions to protect their organizations.” With RadiantOne AI, conducting a user access review becomes as easy as following AIDA’s guidance. Using the power of large language models to drive advanced data correlation, contextualization and analysis, combined with an intuitive data visualization dashboard, AIDA will reinvent the user access review ritual. Based on an organization's proprietary data, the fully guided UAR experience will allow reviewers to interact and pose questions to AIDA using natural human language, like “where does this access come from?” or “show me who else has these access rights?” AIDA will highlight any potential user access risks, offer expert insight, and suggest remediations or access modifications based on an organization’s policies. Any changes, such as low risk bulk access approvals or revoking atypical access rights, are completed via a click of a button, so there’s less training required to complete the reviews and less risk of human error during the process. RadiantOne AI’s AIDA-guided user access review capability works to provide enterprise organizations with: Automated workflows: Leverage vast data sets and contextual insights to make intelligent and confident decisions about access rights. Simplified compliance: Easily detect over-privileged accounts or atypical access rights with intuitive data visualization techniques. Greater visibility into user actions: Get beyond roles quickly to see who has access to what and how they received that access so insights and remediations are easily actionable. Click-button remediation: Based on the insights and recommendations from AIDA, reviewers can approve or revoke access or atypical rights individually or take bulk approval/rejection actions with the click of a button. Data into the hands of business owners: Put relevant, risk-based identity data insights into the hands of business users in the language they understand to make it a breeze to adhere to compliance policies. “User access reviews with AIDA are just the beginning,” comments Joe Sander, Radiant Logic’s CEO. “Using RadiantOne’s AI engine, we see potential to revolutionize identity data management, governance, risk, compliance and cybersecurity processes by removing complexity as a roadblock. This frees up critical IT and security resources to focus on other business-critical tasks and expands the role of identity to truly be a business enabler.” RadiantOne AI comes on the heels of the completion of the integration of Brainwave Identity Analytics into the RadiantOne Identity Data Platform. AIDA will initially be available as a complement to the RadiantOne Identity Analytics solution. About Radiant Logic Radiant Logic, the identity data experts, helps organizations turn identity data into a strategic asset that drives automated governance, enhanced security, and operational efficiency. Our RadiantOne Identity Data Platform removes complexity as a roadblock to identity-first strategies by creating an authoritative data source for real-time, context-aware controls. We provide visibility and actionable insights to intelligently detect and remediate risk using AI/ML-powered identity analytics. With RadiantOne, organizations are able to tap into the wealth of information across the infrastructure, combining context and analytics to deploy governance that works for the most advanced use cases.

Read More

Machine Learning

InterSystems Introduces Two New Cloud-Native Smart Data Services to Accelerate Database and Machine Learning Application Development

InterSystems | January 12, 2024

InterSystems, a creative data technology provider dedicated to helping customers solve their most critical scalability, interoperability, and speed problems, today announced general availability of the InterSystems IRIS Cloud SQL and InterSystems IRIS Cloud IntegratedML® services. These fully managed cloud-native smart data services empower developers to build cloud-native database and machine learning (ML) applications in SQL environments with ease. With Cloud SQL and Cloud IntegratedML, developers can access a next generation relational database-as-a-service (DBaaS) that is fast and easy to provision and use. Embedded AutoML capabilities allow developers to easily develop and execute machine learning models with just a few SQL-like commands in a fully-managed, elastic cloud-native environment. Shaping a complete data management portfolio for mission-critical applications As part of the InterSystems Cloud portfolio of smart data services, Cloud SQL and Cloud IntegratedML provide application developers with access to InterSystems proven enterprise-class capabilities as self-service, fully managed offerings on Amazon Web Services (AWS), while providing a fast and seamless on-ramp to the full suite of capabilities in InterSystems IRIS® data platform. InterSystems IRIS is a next-generation data platform designed for organizations implementing smart data fabrics that provide powerful database management, integration, and application development capabilities. By consolidating these capabilities into a single product, InterSystems IRIS accelerates the time it takes to realize value from data, simplifies overall system architectures, and reduces both maintenance effort and costs. “We are excited for the capabilities of InterSystems IRIS to be exposed through these new, easy to deploy and easy to use services,” said Scott Gnau, Global Head of Data Platforms at InterSystems. “With native support for AutoML, we give developers the power to build comprehensive, predictive, and prescriptive applications.” Fully managed, enterprise-class reliability with InterSystems IRIS Cloud SQL Cloud SQL makes it easy for application developers to leverage advanced relational database capabilities as a fully managed, secure, scalable, high performance, highly available cloud-native database-as-a-service (DBaaS). Cloud SQL delivers the following benefits for SQL developers: Extremely high performance, especially for ingesting and processing incoming data and performing SQL queries on the data with low latency at scale Fast and easy to provision and use Ability to easily connect client applications via JDBC, ODBC, DB-API, and ADO.NET drivers Automated security, data encryption, and backups Automation of machine learning tasks with InterSystems IRIS Cloud IntegratedML Available as an additional cloud managed service for InterSystems IRIS Cloud SQL customers, Cloud IntegratedML extends the capabilities of Cloud SQL to enable SQL developers to quickly build, tune, and execute machine learning models with just a few SQL-like commands, without moving or copying data to a different environment. A significant advantage of Cloud IntegratedML is the elimination of the need to transfer or replicate data to an external platform to build ML models, or to move ML models to a different environment for execution. Cloud IntegratedML delivers the following benefits for SQL developers: Automation of machine learning processes and resource-intensive tasks such as feature engineering, model development, and fine-tuning Seamless integration of models developed and trained with Cloud IntegratedML within Cloud SQL, facilitating real-time predictive insights and prescriptive actions in response to events and transactions This comprehensive suite of smart data services establishes the InterSystems Cloud portfolio of smart data services as an optimal choice for SQL developers seeking a robust, high-performance database solution tailored to their needs. The new Cloud SQL and Cloud IntegratedML services are available through InterSystems Developer Hub. About InterSystems Established in 1978, InterSystems is the leading provider of next-generation solutions for enterprise digital transformations in the healthcare, finance, manufacturing, and supply chain sectors. Its cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems is committed to excellence through its award-winning, 24×7 support for customers and partners in more than 80 countries. Privately held and headquartered in Cambridge, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

Read More

Spotlight

Mode

Mode

Mode was founded in 2013 by Derek Steer, Benn Stancil, and Josh Ferguson. While working in analytics at Yammer, they saw Amazon Redshift and other cloud-based data warehouses making it possible for companies of all sizes—not just tech giants—to gather and analyze data....

Events

Resources

resource image

Business Intelligence, Big Data Management

Agility in Data Management

Whitepaper

resource image

Business Intelligence, Big Data Management, Data Science

Tackling climate change with data science and AI

Whitepaper

resource image

Business Intelligence, Big Data Management

Agility in Data Management

Whitepaper

resource image

Business Intelligence, Big Data Management, Data Science

Tackling climate change with data science and AI

Whitepaper

Events