Q&A with Wendy Gonzalez, CEO at Sama

Wendy Gonzalez, CEO at Sama, is an executive who is passionate about building high-performing, high-functioning teams that develop and scale innovative, impactful technology. She has two decades of managerial and technology leadership experience for companies including EY, Capgemini, Cycle30 (acquired by Arrow Electronics) and General Communications Inc. She is an active Board Member of the Leila Janah Foundation.

As artificial intelligence continues to become globally adopted, it’s vital that emerging technologies are built on data that’s accurate, diverse, free of bias, and ethically sourced.



MEDIA 7: Could you please take us through your professional journey?
WENDY GONZALEZ:
Of course! I have spent the last two decades gaining managerial and technology leadership experience through my work for companies including Ernst and Young, Capgemini, and General Communications Inc. I also co-founded Cycle30 where we were developing SaaS solutions for Internet of Things (IoT) devices prior to joining Sama six years ago.What drew me to Sama was not only our best-in-class training data solutions that enable businesses to build innovative AI models, but also our strong social impact mission. After serving as President and COO of Sama since 2018, I stepped into the role of Interim CEO when my friend, Sama’s CEO and founder, Leila Janah, passed away in January of 2020. This past December, I was officially named CEO.


M7: For the second time, Sama made the Inc. 5000 List of America’s Fastest-Growing Private Companies! What was the strategy behind achieving such prestigious recognition in the industry?
WG:
I think the result of our recognition on the Inc. 5000 list is two-fold. First, our team at Sama is one of the hardest-working teams in the industry. Each day, we’re diligently working to ensure that we are providing the highest-quality training data for the world’s leading companies such as Walmart, Google, and NVIDIA. The second factor is our unending dedication to innovation. At Sama, we are passionate about building a work environment that fosters experimentation. That’s why we host an annual ‘Innovation Week,’ where we provide employees with the resources they need to work on new projects and try new things. Last year, over 50% of all Innovation Week projects were incorporated into our roadmap and implemented within the following two quarters. Our MicroModel™ technology was actually born from one of these projects, and today helps our clients get higher quality training data in half the time. I am also excited to share that in addition to being recognized on the Inc. 5000 list of one of America’s fastest-growing private companies for the second year in a row, we’ve also been honored with an inclusion in Fast Company’s World Changing Ideas and Forbes AI 50 lists. Additionally, we recently completed our three-year Randomized Controlled Trial with MIT which validated our social impact model that has helped over 55,000 people lift themselves out of poverty through our skills training and AI work.


From helping doctors diagnose cancer to providing traders with more accurate predictions of the stock market, AI can be an incredibly powerful tool in boosting efficiencies across industries, but only if it’s built on training data that’s accurate, diverse, bias-free, and ethically sourced.



M7: What is Sama’s MicroModel technology and how does it automate data annotation?
WG:
Our MicroModel™ technology is a powerful combination of machine learning-assisted annotation and ethical human validation that consistently produces data that’s between 94% and 98% accurate. First, our Machine Learning Assisted Annotation (MAA) powered by MicroModels™ draws from a library of models trained on specific use cases to expedite the labeling process by generating high-quality pre-labeled annotations. Next, our skilled annotators validate those labels instead of annotating from scratch, maximizing efficiency and producing higher quality training data in half the time. While our models are pre-trained on specific use cases, our human-in-the-loop validation helps us improve our models over time. Through the feedback from our skilled annotators, our models constantly learn to make better predictions. The end result for our clients is ultimately a significantly shorter, and higher quality path to production.


M7: What do you see as the most noticeable change right now happening in the workforce, encouraged by the rise of digital technologies?
WG: 
From helping doctors diagnose cancer to providing traders with more accurate predictions of the stock market, AI can be an incredibly powerful tool in boosting efficiencies across industries, but only if it’s built on training data that’s accurate, diverse, bias-free, and ethically sourced. The truth is 8 out of 10 machine learning (ML) projects fail, and 96% run into data quality and labeling problems which can produce inaccurate algorithms and may result in ethical, legal, and safety issues. At Sama, we understand the importance of having accurate, diverse, and bias-free training data to fuel this next generation of AI technology. When it comes to developing AI models, there’s no room to cut corners. We make producing accurate data our number one priority and are constantly innovating in order to provide our customers with the highest quality results to bring their AI models to production efficiently without sacrificing quality.


There are a number of challenges in the AI industry in the COVID-19 era. The first is keeping up with the demand for AI technology.



M7:  What do you believe are the top three challenges in the industry in the post-COVID-19 era?
WG:
There are a number of challenges in the AI industry in the COVID-19 era. The first is keeping up with the demand for AI technology. During the pandemic, we saw a dramatic shift as companies quickly adopted digital technology in order to boost efficiencies, cut costs, and keep up with competitors. This rapid digital transformation has in turn caused the artificial intelligence market to skyrocket. In 2020, the industry was estimated to be worth over $62 billion dollars, that number is expected to jump to more than $93 billion this year. As AI becomes incorporated into every industry, government organization, and virtually every aspect of our lives, companies are under extreme pressure to bring their AI models to production faster to keep up with competitors.

The second challenge is ensuring emerging technologies are built on a foundation of accurate data. Data quality plays an instrumental role in a machine learning model’s performance. Quality does not just mean the difference between your AI project succeeding or failing, but in some cases means the difference between life or death. Imagine, for example, that a self-driving car was built on data that didn’t recognize people, just stop signs? Creating quality data is one of the most expensive and time-consuming parts of building an AI model but it’s also the most crucial. At Sama, we understand accurate and quality data is important at every step of the machine learning process. The definition of what “quality” means however varies depending on each project, that’s why we always start by working with our clients to first define the meaning of quality. Through this process we are able to anticipate and address errors before the annotation process even begins, saving our clients time and money.

The third challenge is knowing what to automate and what not to automate. As we continue to boost efficiencies, it’s important to recognize that technology isn’t always the most effective way to streamline production. What makes our MicroModel™ technology so effective at consistently producing data that’s between 94% and 98% accurate is our human-in-the-loop validation. Our skilled annotators can recognize errors and inconsistencies that would otherwise have led to inaccurate data if left to automation alone. At Sama, we recognize the importance of having a high-performing and innovative team, which is why we’ve been so efficient at providing our customers with the highest quality data.


M7:  Being a business leader, how do you prepare for an AI-centric world?
WG:
In many ways, an AI-centric world is already here. As artificial intelligence continues to become globally adopted, it’s vital that emerging technologies are built on data that’s accurate, diverse, free of bias, and ethically sourced. As a leader in AI, I’m preparing for an AI-centric world by doing what we do best at Sama, which is building a high-performing team that develops and scales innovative, impactful technology for some of the world’s most ambitious AI companies while continuing to advocate for an ethical AI supply chain.

ABOUT SAMA

Sama provides high-quality training data that powers AI technology. The company’s platform is trusted by the world’s most ambitious organizations to develop accurate machine learning models. Used by leading technology companies such as Google, NVIDIA, GM, and Walmart, Sama specializes in image, video, language, and sensor data annotation and validation for machine learning algorithms in industries including manufacturing and robotics, bio and MedTech, autonomous vehicles, entertainment, e-commerce, retail, and agriculture. For more information, visit www.sama.com.

More C-Suite on deck

Q&A with Ben Lamm, Founder and CEO at Hypergiant

Media 7 | February 23, 2021

Ben Lamm, Founder and CEO at Hypergiant, has been launching and building disruptive businesses for over a decade. Prior to Hypergiant, he was the CEO and founder of Conversable, the leading conversational intelligence platform that helps brands reach their customers through automated experiences on all major voice and text platforms. In addition to leading and growing his companies, he is active in angel investing, incubators, and startup communities, with investments in the software and emerging tech space. He has served as an active voice in the tech community, as well as an active mentor to fellow entrepreneurs on how to build disruptive businesses through accelerators and corporate programs.

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

‘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

Q&A with Ben Lamm, Founder and CEO at Hypergiant

Media 7 | February 23, 2021

Ben Lamm, Founder and CEO at Hypergiant, has been launching and building disruptive businesses for over a decade. Prior to Hypergiant, he was the CEO and founder of Conversable, the leading conversational intelligence platform that helps brands reach their customers through automated experiences on all major voice and text platforms. In addition to leading and growing his companies, he is active in angel investing, incubators, and startup communities, with investments in the software and emerging tech space. He has served as an active voice in the tech community, as well as an active mentor to fellow entrepreneurs on how to build disruptive businesses through accelerators and corporate programs.

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

‘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

Related News

Big Data Management

Amnet Digital announces a launch of Swift Insights, an AI-powered analytics platform help businesses make informed decisions

Amnet Digital | January 10, 2024

Amnet Digital, a leading Data, Analytics & AI solutions company that is powering businesses and automating operations, today officially launched Swift Insights, an AI-powered analytics platform to accelerate businesses with data-driven insights and make informed decisions through intuitive dashboards. In today's groundbreaking AI-led innovation era, Swift Insights assists organizations reinvent their business performance with Gen AI and LLMs to uncover new growth opportunities. With Gen AI at its core, Swift Insights expands its AI-powered analytics platform with closed-loop dashboards and advanced reports that solves key business challenges and elevates decision making authority toward customer acquisition to retention and loyalty. Product Key Features AI Analytics: Predictive and Prescriptive analytics using AIML algorithms. Report Management: Single platform for enterprise data discovery and report management. Decision Making: Make the right decisions at the right time and act fast under dynamic market needs. Business Insights: AI-powered reports with actionable insights. Q&A Analytics: LLM powered instant business related answers from the data. This product launch also expands the offerings with state-of-the-art advanced data security and compliance with greater resilience for business. The platform also enables proactive measures to minimize tech disruptions for scheduled upgrades and patching that means the company will witness less down time. "As we launch Swift Insights, we are excited to bring a transformative solution to businesses and harness the full power of the organizational data. Our AI-powered analytics platform underscores Amnet Digital's commitment to tech innovation and excellence in the Data, Analytics, & AI space" said, Krishna Reddy, CEO at Amnet Digital. Get actionable insights 10x faster from your business data stack! Would you like to see how? Request a demo and see for yourself, with no strings attached. Swift Insights drive and measure company success by the real value which is deliver for the clients, partners, communities, and employees. About Swift Insights Swift Insights is an AI-powered analytics platform that accelerates and transforms your business data into actionable insights to make informed decisions. * Powered by Amnet Digital. About Amnet Digital Amnet Digital is a Data, Analytics & AI solutions company that helps businesses to make data driven decisions and automate IT & business operations. We help customers to realize the higher value of their digital transformation initiatives and drive positive business impact leveraging our Analytics & AI digital accelerators. A winner of the "Telangana State Awards 2023" under Best Services category.

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

Big Data Management

The Modern Data Company Recognized in Gartner's Magic Quadrant for Data Integration

The Modern Data Company | January 23, 2024

The Modern Data Company, recognized for its expertise in developing and managing advanced data products, is delighted to announce its distinction as an honorable mention in Gartner's 'Magic Quadrant for Data Integration Tools,' powered by our leading product, DataOS. “This accolade underscores our commitment to productizing data and revolutionizing data management technologies. Our focus extends beyond traditional data management, guiding companies on their journey to effectively utilize data, realize tangible ROI on their data investments, and harness advanced technologies such as AI, ML, and Large Language Models (LLMs). This recognition is a testament to Modern Data’s alignment with the latest industry trends and our dedication to setting new standards in data integration and utilization.” – Srujan Akula, CEO of The Modern Data Company The inclusion in the Gartner report highlights The Modern Data Company's pivotal role in shaping the future of data integration. Our innovative approach, embodied in DataOS, enables businesses to navigate the complexities of data management, transforming data into a strategic asset. By simplifying data access and integration, we empower organizations to unlock the full potential of their data, driving insights and innovation without disruption. "Modern Data's recognition as an Honorable Mention in the Gartner MQ for Data Integration is a testament to the transformative impact their solutions have on businesses like ours. DataOS has been pivotal in allowing us to integrate multiple data sources, enabling our teams to have access to the data needed to make data driven decisions." – Emma Spight, SVP Technology, MIND 24-7 The Modern Data Company simplifies how organizations manage, access, and interact with data using its DataOS (data operating system) that unifies data silos, at scale. It provides ontology support, graph modeling, and a virtual data tier (e.g. a customer 360 model). From a technical point of view, it closes the gap from conceptual to physical data model. Users can define conceptually what they want and its software traverses and integrates data. DataOS provides a structured, repeatable approach to data integration that enhances agility and ensures high-quality outputs. This shift from traditional pipeline management to data products allows for more efficient data operations, as each 'product' is designed with a specific purpose and standardized interfaces, ensuring consistency across different uses and applications. With DataOS, businesses can expect a transformative impact on their data strategies, marked by increased efficiency and a robust framework for handling complex data ecosystems, allowing for more and faster iterations of conceptual models. About The Modern Data Company The Modern Data Company, with its flagship product DataOS, revolutionizes the creation of data products. DataOS® is engineered to build and manage comprehensive data products to foster data mesh adoption, propelling organizations towards a data-driven future. DataOS directly addresses key AI/ML and LLM challenges: ensuring quality data, scaling computational resources, and integrating seamlessly into business processes. In our commitment to provide open systems, we have created an open data developer platform specification that is gaining wide industry support.

Read More

Big Data Management

Amnet Digital announces a launch of Swift Insights, an AI-powered analytics platform help businesses make informed decisions

Amnet Digital | January 10, 2024

Amnet Digital, a leading Data, Analytics & AI solutions company that is powering businesses and automating operations, today officially launched Swift Insights, an AI-powered analytics platform to accelerate businesses with data-driven insights and make informed decisions through intuitive dashboards. In today's groundbreaking AI-led innovation era, Swift Insights assists organizations reinvent their business performance with Gen AI and LLMs to uncover new growth opportunities. With Gen AI at its core, Swift Insights expands its AI-powered analytics platform with closed-loop dashboards and advanced reports that solves key business challenges and elevates decision making authority toward customer acquisition to retention and loyalty. Product Key Features AI Analytics: Predictive and Prescriptive analytics using AIML algorithms. Report Management: Single platform for enterprise data discovery and report management. Decision Making: Make the right decisions at the right time and act fast under dynamic market needs. Business Insights: AI-powered reports with actionable insights. Q&A Analytics: LLM powered instant business related answers from the data. This product launch also expands the offerings with state-of-the-art advanced data security and compliance with greater resilience for business. The platform also enables proactive measures to minimize tech disruptions for scheduled upgrades and patching that means the company will witness less down time. "As we launch Swift Insights, we are excited to bring a transformative solution to businesses and harness the full power of the organizational data. Our AI-powered analytics platform underscores Amnet Digital's commitment to tech innovation and excellence in the Data, Analytics, & AI space" said, Krishna Reddy, CEO at Amnet Digital. Get actionable insights 10x faster from your business data stack! Would you like to see how? Request a demo and see for yourself, with no strings attached. Swift Insights drive and measure company success by the real value which is deliver for the clients, partners, communities, and employees. About Swift Insights Swift Insights is an AI-powered analytics platform that accelerates and transforms your business data into actionable insights to make informed decisions. * Powered by Amnet Digital. About Amnet Digital Amnet Digital is a Data, Analytics & AI solutions company that helps businesses to make data driven decisions and automate IT & business operations. We help customers to realize the higher value of their digital transformation initiatives and drive positive business impact leveraging our Analytics & AI digital accelerators. A winner of the "Telangana State Awards 2023" under Best Services category.

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

Big Data Management

The Modern Data Company Recognized in Gartner's Magic Quadrant for Data Integration

The Modern Data Company | January 23, 2024

The Modern Data Company, recognized for its expertise in developing and managing advanced data products, is delighted to announce its distinction as an honorable mention in Gartner's 'Magic Quadrant for Data Integration Tools,' powered by our leading product, DataOS. “This accolade underscores our commitment to productizing data and revolutionizing data management technologies. Our focus extends beyond traditional data management, guiding companies on their journey to effectively utilize data, realize tangible ROI on their data investments, and harness advanced technologies such as AI, ML, and Large Language Models (LLMs). This recognition is a testament to Modern Data’s alignment with the latest industry trends and our dedication to setting new standards in data integration and utilization.” – Srujan Akula, CEO of The Modern Data Company The inclusion in the Gartner report highlights The Modern Data Company's pivotal role in shaping the future of data integration. Our innovative approach, embodied in DataOS, enables businesses to navigate the complexities of data management, transforming data into a strategic asset. By simplifying data access and integration, we empower organizations to unlock the full potential of their data, driving insights and innovation without disruption. "Modern Data's recognition as an Honorable Mention in the Gartner MQ for Data Integration is a testament to the transformative impact their solutions have on businesses like ours. DataOS has been pivotal in allowing us to integrate multiple data sources, enabling our teams to have access to the data needed to make data driven decisions." – Emma Spight, SVP Technology, MIND 24-7 The Modern Data Company simplifies how organizations manage, access, and interact with data using its DataOS (data operating system) that unifies data silos, at scale. It provides ontology support, graph modeling, and a virtual data tier (e.g. a customer 360 model). From a technical point of view, it closes the gap from conceptual to physical data model. Users can define conceptually what they want and its software traverses and integrates data. DataOS provides a structured, repeatable approach to data integration that enhances agility and ensures high-quality outputs. This shift from traditional pipeline management to data products allows for more efficient data operations, as each 'product' is designed with a specific purpose and standardized interfaces, ensuring consistency across different uses and applications. With DataOS, businesses can expect a transformative impact on their data strategies, marked by increased efficiency and a robust framework for handling complex data ecosystems, allowing for more and faster iterations of conceptual models. About The Modern Data Company The Modern Data Company, with its flagship product DataOS, revolutionizes the creation of data products. DataOS® is engineered to build and manage comprehensive data products to foster data mesh adoption, propelling organizations towards a data-driven future. DataOS directly addresses key AI/ML and LLM challenges: ensuring quality data, scaling computational resources, and integrating seamlessly into business processes. In our commitment to provide open systems, we have created an open data developer platform specification that is gaining wide industry support.

Read More

Spotlight

Sama

Sama

Sama provides high quality training data that powers AI technology. The company’s platform is trusted by the world’s most ambitious organizations to develop accurate machine learning models. Used by leading technology companies such as Google, NVIDIA, GM, and Walmart, Sama specializes in image, vide...

Events

Resources

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, Data Science

Data Beyond Borders 3.0

Whitepaper

resource image

Business Intelligence, Big Data Management, Big Data

Choose the Right BI Solution: Top Business Intelligence Companies

Article

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, Data Science

Data Beyond Borders 3.0

Whitepaper

resource image

Business Intelligence, Big Data Management, Big Data

Choose the Right BI Solution: Top Business Intelligence Companies

Article

Events