Visualizing the AI Revolution in One Infographic.

November 12, 2021 | 31 views

Visualizing_the_AI
Science fiction didn’t do a great job in preparing us for our first real encounters with AI. Most people probably still envision AI in the form of a sentient robot that can talk, move around, and experience feelings – something like WALL-E or C-3PO from the movies. Although that still may be the dream, it turns out that the current iteration of AI is actually quite different. With modern AI, all the “thinking” gets done in the cloud, and the algorithms aren’t tied to the identity of a physical machine like we would have expected from the big screen. The modern iteration of AI works silently in the background without a face, and it’s starting to impact everything it touches. It’s also set to transform our economy at warp speed.

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Hookit | AI-Powered Sponsorship

Hookit built the first and most powerful Sponsorship Analytics and Valuation Platform™ to quantify and track the value and performance of sports sponsorships in social and digital media. Sponsorship is one of most powerful and authentic ways for brands to emotionally connect to their customers’ passions and interests. In today’s always streaming, mobile-connected universe, social media has forever changed the dynamics of sponsorship. Social media has enabled nearly 50B direct connections between fans, brands, and sports properties.

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AI's Impact on Improving Customer Experience

Article | July 14, 2022

To enhance the consumer experience, businesses all over the world are experimenting with artificial intelligenace (AI), machine learning, and advanced analytics. Artificial intelligence (AI) is becoming increasingly popular among marketers and salespeople, and it has become a vital tool for businesses that want to offer their customers a hyper-personalized, outstanding experience. Customer relationship management (CRM) and customer data platform (CDP) software that has been upgraded with AI has made AI accessible to businesses without the exorbitant expenses previously associated with the technology. When AI and machine learning are used in conjunction for collecting and analyzing social, historical, and behavioral data, brands may develop a much more thorough understanding of their customers. In addition, AI can predict client behavior because it continuously learns from the data it analyzes, in contrast to traditional data analytics tools. As a result, businesses may deliver highly pertinent content, boost sales, and enhance the customer experience. Predictive Behavior Analysis and Real-time Decision Making Real-time decisioning is the capacity to act quickly and based on the most up-to-date information available, such as information from a customer's most recent encounter with a company. For instance, Precognitive's Decision-AI uses a combination of AI and machine learning to assess any event in real-time with a response time of less than 200 milliseconds. Precognitive's fraud prevention product includes Decision-AI, which can be implemented using an API on a website. Marketing to customers can be done more successfully by using real-time decisioning. For example, brands may display highly tailored, pertinent content and offer to clients by utilizing AI and real-time decisioning to discover and comprehend a customer's purpose from the data they produce in real-time. By providing deeper insights into what has already happened and what can be done to facilitate a sale through suggestions for related products and accessories, AI and predictive analytics are able to go further than historical data alone. This increases the relevance of the customer experience, increases the likelihood that a sale will be made, and increases the emotional connection that the customer has with a brand.

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FUTURE TECH

The Evolution of Quantum Computing and What its Future Beholds

Article | July 14, 2022

The mechanism of quantum computers will be entirely different from anything we humans have ever created or constructed in the past. Quantum computers, like classical computers, are designed to address problems in the real world. They process data in a unique way, though, which makes them a much more effective machine than any computer in use today. Superposition and entanglement, two fundamental ideas in quantum mechanics, could be used to explain what makes quantum computers unique. The goal of quantum computing research is to find a technique to accelerate the execution of lengthy chains of computer instructions. This method of execution would take advantage of a quantum physics event that is frequently observed but does not appear to make much sense when written out. When this fundamental objective of quantum computing is accomplished, and all theorists are confident works in practice, computing will undoubtedly undergo a revolution. Quantum computing promises that it will enable us to address specific issues that current classical computers cannot resolve in a timely manner. While not a cure-all for all computer issues, quantum computing is adequate for most "needle in a haystack" search and optimization issues. Quantum Computing and Its Deployment Only the big hyperscalers and a few hardware vendors offer quantum computer emulators and limited-sized quantum computers as a cloud service. Quantum computers are used for compute-intensive, non-latency-sensitive issues. Quantum computer architectures can't handle massive data sizes yet. In many circumstances, a hybrid quantum-classical computer is used. Quantum computers don't use much electricity to compute but need cryogenic refrigerators to sustain superconducting temperatures. Networking and Quantum Software Stacks Many quantum computing software stacks virtualize the hardware and build a virtual layer of logical qubits. Software stacks provide compilers that transform high-level programming structures into low-level assembly commands that operate on logical qubits. In addition, software stack suppliers are designing domain-specific application-level templates for quantum computing. The software layer hides complexity without affecting quantum computing hardware performance or mobility.

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AI TECH

Language Models: Emerging Types and Why They Matter

Article | July 20, 2022

Language model systems, often known as text understanding and generation systems, are the newest trend in business. However, not every language model is made equal. A few are starting to take center stage, including massive general-purpose models like OpenAI's GPT-3 and models tailored for specific jobs. There is a third type of model at the edge that is intended to run on Internet of Things devices and workstations but is typically very compressed in size and has few functionalities. Large Language Models Large language models, which can reach tens of petabytes in size, are trained on vast volumes of text data. As a result, they rank among the models with the highest number of parameters, where a "parameter" is a value the model can alter on its own as it gains knowledge. The model's parameters, which are made of components learned from prior training data, fundamentally describe the model's aptitude for solving a particular task, like producing text. Fine-tuned Language Models Compared to their massive language model siblings, fine-tuned models are typically smaller. Examples include OpenAI's Codex, a version of GPT-3 that is specifically tailored for programming jobs. Codex is both smaller than OpenAI and more effective at creating and completing strings of computer code, although it still has billions of parameters. The performance of a model, like its capacity to generate protein sequences or respond to queries, can be improved through fine-tuning. Edge Language Models Edge models, which are intentionally small in size, occasionally take the shape of finely tuned models. To work within certain hardware limits, they are occasionally trained from scratch on modest data sets. In any event, edge models provide several advantages that massive language models simply cannot match, notwithstanding their limitations in some areas. The main factor is cost. There are no cloud usage fees with an edge approach that operates locally and offline. As significant, fine-tuned, and edge language models grow in response to new research, they are likely to encounter hurdles on their way to wider use. For example, compared to training a model from the start, fine-tuning requires less data, but fine-tuning still requires a dataset.

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SOFTWARE

Low-code and No-code: A Business' New Best Friend

Article | July 5, 2022

Businesses are starting to integrate artificial intelligence (AI) into their workflow in greater numbers as a result of the growth of digital transformation and developments in machine learning (ML). As a result, platforms that need no coding, as well as their low-code counterparts, are becoming more popular. This development is a step toward computer science's long-term objective of automating manual coding. Low-code/no-code AI platforms will be beneficial to businesses in more data-driven industries like marketing, sales, and finance. AI can assist in a variety of ways, including automating invoicing, evaluating reports, making intelligent suggestions, and anticipating churn rates. How Does an Organization Look at Low-code/No-code as the Future? Developers and other tech-related positions are in high demand, particularly in the fields of AI and data science. Organizations have the chance to close the gap with the aid of citizen data scientists who don't require an AI professional to design unique AI solutions for many scenarios, thanks to low-code and no-code AI technologies. The demand for technological solutions and AI technologies is rising significantly as the technological landscape rapidly changes. AI systems, for example, require complex software that uses a lot of code, a variety of frameworks, and the Internet of Things (IoT). One person's capacity to comprehend every technical detail is strained by the array of complicated technology. Software delivery must be timely, effective, and secure while maintaining high standards. Conclusion Low-code AI solutions offer the speed, ease of use, and adaptability of ready-made software solutions while also drastically reducing the time to market for AI solutions and the cost of recruiting software and computer vision engineers. Organizations are free to construct the architecture, functionality, or pipeline that best suits their project, the sky being the limit. However, creating such unique models may be both costly and time-consuming. Therefore, employing low-code/no-code platforms would apply to particular pipeline actions that would streamline and accelerate the processes.

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Spotlight

Hookit | AI-Powered Sponsorship

Hookit built the first and most powerful Sponsorship Analytics and Valuation Platform™ to quantify and track the value and performance of sports sponsorships in social and digital media. Sponsorship is one of most powerful and authentic ways for brands to emotionally connect to their customers’ passions and interests. In today’s always streaming, mobile-connected universe, social media has forever changed the dynamics of sponsorship. Social media has enabled nearly 50B direct connections between fans, brands, and sports properties.

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CoreLogic’s Multi-year Alliance with Google Cloud Enables New Product Launch

CoreLogic | August 22, 2022

CoreLogic©, a leading global property data and analytics-driven solutions provider, has announced an extended relationship with Google Cloud to support the launch of its new CoreLogic Discovery Platform™. Fully built on Google Cloud’s secure and sustainable infrastructure, Discovery Platform provides a comprehensive property analytics environment and cloud-based data exchange for businesses across multiple sectors. Discovery Platform allows businesses — including CoreLogic’s core markets of property and real estate technology, mortgage lenders, marketers and insurance firms — to discover, integrate, analyze and model property insights to make critical business decisions faster. The multi-year relationship between CoreLogic and Google Cloud enables the development of a scalable platform built with several Google Cloud services including Dataproc, BigQuery, Anthos and Cloud Run to manage the data science workloads for predictive and prescriptive analytics. BigQuery is the petabyte-scale backend for the platform, enabling comprehensive property data views built from a wide array of CoreLogic and third-party data sets. Dataproc powers Discovery Platform facilitating advanced analytics and data science at scale. Typically, companies with data engineers and scientists spend weeks and even months on data wrangling before reaching the insights needed to drive business growth or mitigate risks. Through the collaboration with Google Cloud, CoreLogic’s Discovery Platform provides a fully secure and compliant environment with relevant data, tools, security, and governance. Using CoreLogic data models and insights allows companies to deploy secure and compliant data analytics workflows within minutes, thereby speeding up the delivery of mission-critical insights. “CoreLogic and Google Cloud solved a significant challenge in the lag-time required to spin up data analytics workbenches that could be preloaded with nationwide data assets, models, libraries and software and self-service training,” said John Rogers, chief innovation officer of CoreLogic. “Together, we were able to look at every part of the process—from onboarding to ingestion of data, modeling and exposure of that insight to the businesses’ operational platform—and cut the lag-time down by more than 50% to give clients access to the insights they need to move the needle on their business faster and easier than ever before.” “I’m excited to see our alliance with Google Cloud flourishing. “We’re providing a state-of-the-art analytical platform for our client’s mission-critical processes. Discovery Platform is born from a growing alliance of two major industry innovators. I see the future horizons our research and development product teams are working on, and I am excited to see what's next.” Patrick Dodd, president and CEO of CoreLogic “We value working with companies like CoreLogic to develop innovative technology solutions and services that enhance customer experience and deliver insights faster,” said Zac Maufe, global head of Financial Services Solutions at Google Cloud.“Our collaboration will support CoreLogic’s clients’ needs and enable the delivery of more comprehensive and efficient solutions for businesses in the real estate finance market.” About CoreLogic CoreLogic is a leading global property information, analytics, and data-enabled solutions provider. The company’s combined data from public, contributory, and proprietary sources includes over 4.5 billion records spanning more than 50 years, providing detailed coverage of property, mortgages and other encumbrances, consumer credit, tenancy, location, hazard risk and related performance information. The markets CoreLogic serves include real estate and mortgage finance, insurance, capital markets, and the public sector. CoreLogic delivers value to clients through unique data, analytics, workflow technology, advisory and managed services. Clients rely on CoreLogic to help identify and manage growth opportunities, improve performance, and mitigate risk. Headquartered in Irvine, CA, CoreLogic operates in North America, Western Europe, and Asia Pacific.

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SOFTWARE

Dataminr Announces New Partners With the Launch of Its Global Partner Program

Dataminr | August 12, 2022

Dataminr, the world's leading real-time information discovery platform, today launched its global partner ecosystem, the Dataminr Partner Program. The program will dramatically expand Dataminr's customer reach across the corporate market, while also providing better enterprise workflow integration and the flexibility to procure Dataminr's products through trusted partners. Dataminr's partner program makes it easier for corporations to operationalize Dataminr's AI Platform across their organization and more seamlessly integrate Dataminr alerts into their workflow. Additionally, this initiative will open up Dataminr's offerings to corporate enterprises in a growing set of commercial sectors and geographic regions through Channel Partners, and provide our signals to Platform Partners to power products for new corporate use cases including supply chain, logistics, fleet management, insurance and many more. "The Dataminr Partner Program broadens our scale and reach through channel partners and reseller networks, delivers more value for our customers, and powers global sales through partners that can sell the Dataminr solution in their local region. "The program will accelerate Dataminr's customer growth, optimize workflow integration, unlock new corporate use cases for our AI Platform, and also feature numerous benefits and incentives for partnerships with comprehensive partner resources." Aharon Weiner, SVP Global Partnerships, Dataminr Leading merchants and businesses including Google, Amazon Web Services, Microsoft, TD SYNNEX, NEC Networks & System Integration Corporation—and long-time partner ESRI—are new participants in the partner ecosystem. "We are proud to have the opportunity to be one of the first participants in the Dataminr Partner Program," said Cheryl Neal, Vice President of New Vendor Acquisition at TD SYNNEX. "Together with Dataminr, we will be able to enrich the breadth and depth of our offerings, ultimately maximizing the value of our customers' information and IT investments and unlocking growth for the future." For new partners, comprehensive program benefits include: Flexible compensation models with competitive margins and margin protection Co-selling benefits such as joint business planning and joint account mapping Market development funds to drive demand and pipeline growth A library of resources that includes training and enablement, sales tools, marketing assets and more. ABOUT DATAMINR Dataminr delivers the earliest warnings on high impact events and critical information far in advance of other sources. Recognized as one of the world's leading AI businesses, Dataminr enables faster response, more effective risk mitigation and stronger crisis management for public and private sector organizations spanning global corporations, first responders, NGOs, and newsrooms. Recently valued at $4.1B, Dataminr is one of New York's top private technology companies, with 900+ employees across eight global offices.

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SOFTWARE

Immuta and Wipro Expand Partnership to Advance Snowflake Solutions

Immuta | June 16, 2022

Immuta, the leader in data access and data security, today announced an expanded partnership with leading global information technology, consulting, and business process services company, Wipro Limited. The expanded partnership advances Wipro’s solutioning capabilities for Snowflake to also deliver Immuta’s data access and security offerings to joint customers. Through this partnership, Wipro customers get access to its expertise on Immuta through Wipro’s “Secure Data Analytics” solution, receiving heightened data security when moving their data to the cloud. The inclusion of Immuta in Wipro’s current Center of Excellence (CoE) program for Snowflake gives customers access to Immuta-trained and partner-certified architects and engineers. This enables Wipro to deliver successful data modernization projects to their customers by leveraging the automated access and privacy controls of the Immuta Data Access Platform. By enforcing data policies across cloud data sources, Immuta accelerates secure data access at scale. Immuta discovers, secures, and monitors organizations’ data to ensure that users have access to the right data at the right time – as long as they have the rights. “Immuta has established itself as one of the leading secure data access solutions for global businesses by enabling them to secure data access at scale, on any cloud service. “Immuta goes beyond role-based access control to deliver fine-grained access control with an attribute-based control plane, managing access for all users, services, and tools into data stores. Combined with Wipro’s powerful technology and 4M framework – Model, Method, Machinery, and Mindset – this partnership further strengthens Snowflake’s offering by ensuring seamless implementation and data security while migrating to the cloud.” Sriram Narasimhan, Senior Vice President and Global Head of Data & Analytics Practice, Wipro Limited “We’re thrilled to continue building upon our partnership with Wipro with this first-of-its-kind extension of their CoE program for Snowflake,” said Michael Dooley, Senior Vice President of Alliances at Immuta. “In support of their data analytics vision, this enhanced partnership will give joint Snowflake customers peace of mind and the tools and resources they need to ensure secure data access as they migrate data to the cloud.” About Wipro Ltd. Wipro Limited is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability, and good corporate citizenship, we have over 240,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future. About Immuta Immuta is the market leader in Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, protecting, and monitoring data on any cloud service. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA.

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CoreLogic’s Multi-year Alliance with Google Cloud Enables New Product Launch

CoreLogic | August 22, 2022

CoreLogic©, a leading global property data and analytics-driven solutions provider, has announced an extended relationship with Google Cloud to support the launch of its new CoreLogic Discovery Platform™. Fully built on Google Cloud’s secure and sustainable infrastructure, Discovery Platform provides a comprehensive property analytics environment and cloud-based data exchange for businesses across multiple sectors. Discovery Platform allows businesses — including CoreLogic’s core markets of property and real estate technology, mortgage lenders, marketers and insurance firms — to discover, integrate, analyze and model property insights to make critical business decisions faster. The multi-year relationship between CoreLogic and Google Cloud enables the development of a scalable platform built with several Google Cloud services including Dataproc, BigQuery, Anthos and Cloud Run to manage the data science workloads for predictive and prescriptive analytics. BigQuery is the petabyte-scale backend for the platform, enabling comprehensive property data views built from a wide array of CoreLogic and third-party data sets. Dataproc powers Discovery Platform facilitating advanced analytics and data science at scale. Typically, companies with data engineers and scientists spend weeks and even months on data wrangling before reaching the insights needed to drive business growth or mitigate risks. Through the collaboration with Google Cloud, CoreLogic’s Discovery Platform provides a fully secure and compliant environment with relevant data, tools, security, and governance. Using CoreLogic data models and insights allows companies to deploy secure and compliant data analytics workflows within minutes, thereby speeding up the delivery of mission-critical insights. “CoreLogic and Google Cloud solved a significant challenge in the lag-time required to spin up data analytics workbenches that could be preloaded with nationwide data assets, models, libraries and software and self-service training,” said John Rogers, chief innovation officer of CoreLogic. “Together, we were able to look at every part of the process—from onboarding to ingestion of data, modeling and exposure of that insight to the businesses’ operational platform—and cut the lag-time down by more than 50% to give clients access to the insights they need to move the needle on their business faster and easier than ever before.” “I’m excited to see our alliance with Google Cloud flourishing. “We’re providing a state-of-the-art analytical platform for our client’s mission-critical processes. Discovery Platform is born from a growing alliance of two major industry innovators. I see the future horizons our research and development product teams are working on, and I am excited to see what's next.” Patrick Dodd, president and CEO of CoreLogic “We value working with companies like CoreLogic to develop innovative technology solutions and services that enhance customer experience and deliver insights faster,” said Zac Maufe, global head of Financial Services Solutions at Google Cloud.“Our collaboration will support CoreLogic’s clients’ needs and enable the delivery of more comprehensive and efficient solutions for businesses in the real estate finance market.” About CoreLogic CoreLogic is a leading global property information, analytics, and data-enabled solutions provider. The company’s combined data from public, contributory, and proprietary sources includes over 4.5 billion records spanning more than 50 years, providing detailed coverage of property, mortgages and other encumbrances, consumer credit, tenancy, location, hazard risk and related performance information. The markets CoreLogic serves include real estate and mortgage finance, insurance, capital markets, and the public sector. CoreLogic delivers value to clients through unique data, analytics, workflow technology, advisory and managed services. Clients rely on CoreLogic to help identify and manage growth opportunities, improve performance, and mitigate risk. Headquartered in Irvine, CA, CoreLogic operates in North America, Western Europe, and Asia Pacific.

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SOFTWARE

Dataminr Announces New Partners With the Launch of Its Global Partner Program

Dataminr | August 12, 2022

Dataminr, the world's leading real-time information discovery platform, today launched its global partner ecosystem, the Dataminr Partner Program. The program will dramatically expand Dataminr's customer reach across the corporate market, while also providing better enterprise workflow integration and the flexibility to procure Dataminr's products through trusted partners. Dataminr's partner program makes it easier for corporations to operationalize Dataminr's AI Platform across their organization and more seamlessly integrate Dataminr alerts into their workflow. Additionally, this initiative will open up Dataminr's offerings to corporate enterprises in a growing set of commercial sectors and geographic regions through Channel Partners, and provide our signals to Platform Partners to power products for new corporate use cases including supply chain, logistics, fleet management, insurance and many more. "The Dataminr Partner Program broadens our scale and reach through channel partners and reseller networks, delivers more value for our customers, and powers global sales through partners that can sell the Dataminr solution in their local region. "The program will accelerate Dataminr's customer growth, optimize workflow integration, unlock new corporate use cases for our AI Platform, and also feature numerous benefits and incentives for partnerships with comprehensive partner resources." Aharon Weiner, SVP Global Partnerships, Dataminr Leading merchants and businesses including Google, Amazon Web Services, Microsoft, TD SYNNEX, NEC Networks & System Integration Corporation—and long-time partner ESRI—are new participants in the partner ecosystem. "We are proud to have the opportunity to be one of the first participants in the Dataminr Partner Program," said Cheryl Neal, Vice President of New Vendor Acquisition at TD SYNNEX. "Together with Dataminr, we will be able to enrich the breadth and depth of our offerings, ultimately maximizing the value of our customers' information and IT investments and unlocking growth for the future." For new partners, comprehensive program benefits include: Flexible compensation models with competitive margins and margin protection Co-selling benefits such as joint business planning and joint account mapping Market development funds to drive demand and pipeline growth A library of resources that includes training and enablement, sales tools, marketing assets and more. ABOUT DATAMINR Dataminr delivers the earliest warnings on high impact events and critical information far in advance of other sources. Recognized as one of the world's leading AI businesses, Dataminr enables faster response, more effective risk mitigation and stronger crisis management for public and private sector organizations spanning global corporations, first responders, NGOs, and newsrooms. Recently valued at $4.1B, Dataminr is one of New York's top private technology companies, with 900+ employees across eight global offices.

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SOFTWARE

Immuta and Wipro Expand Partnership to Advance Snowflake Solutions

Immuta | June 16, 2022

Immuta, the leader in data access and data security, today announced an expanded partnership with leading global information technology, consulting, and business process services company, Wipro Limited. The expanded partnership advances Wipro’s solutioning capabilities for Snowflake to also deliver Immuta’s data access and security offerings to joint customers. Through this partnership, Wipro customers get access to its expertise on Immuta through Wipro’s “Secure Data Analytics” solution, receiving heightened data security when moving their data to the cloud. The inclusion of Immuta in Wipro’s current Center of Excellence (CoE) program for Snowflake gives customers access to Immuta-trained and partner-certified architects and engineers. This enables Wipro to deliver successful data modernization projects to their customers by leveraging the automated access and privacy controls of the Immuta Data Access Platform. By enforcing data policies across cloud data sources, Immuta accelerates secure data access at scale. Immuta discovers, secures, and monitors organizations’ data to ensure that users have access to the right data at the right time – as long as they have the rights. “Immuta has established itself as one of the leading secure data access solutions for global businesses by enabling them to secure data access at scale, on any cloud service. “Immuta goes beyond role-based access control to deliver fine-grained access control with an attribute-based control plane, managing access for all users, services, and tools into data stores. Combined with Wipro’s powerful technology and 4M framework – Model, Method, Machinery, and Mindset – this partnership further strengthens Snowflake’s offering by ensuring seamless implementation and data security while migrating to the cloud.” Sriram Narasimhan, Senior Vice President and Global Head of Data & Analytics Practice, Wipro Limited “We’re thrilled to continue building upon our partnership with Wipro with this first-of-its-kind extension of their CoE program for Snowflake,” said Michael Dooley, Senior Vice President of Alliances at Immuta. “In support of their data analytics vision, this enhanced partnership will give joint Snowflake customers peace of mind and the tools and resources they need to ensure secure data access as they migrate data to the cloud.” About Wipro Ltd. Wipro Limited is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability, and good corporate citizenship, we have over 240,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future. About Immuta Immuta is the market leader in Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, protecting, and monitoring data on any cloud service. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA.

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