Data Integration Platform: Leveraging the Power of Data

Aashish Yadav | June 24, 2022 | 193 views | Read Time : 3 min

Data Integration Platform: Leveraging the Power of Data
Data is not stored in a single database, file system, data lake, or repository. Data generated in a system of record must meet various business requirements, connect with other data sources, and then be utilized for analytics, customer-facing apps, or internal procedures. A well-established data integration solution provides a unified picture of data received from various places and formats. This can also happen when two organizations merge or when internal applications are consolidated. Data integration can also facilitate the development of a more complete data warehouse, resulting in more accurate and effective analysis. Data integration establishes the foundation for effective Business Intelligence (BI) and decision-making.

Data Integration as a Tool for Business Strategy

The gathering, analysis, and integration of data is essential to the success of businesses. Let’s have a look at the way in which data integration technology enables business strategy.


Set Data-Integration Goals

These objectives should be part of the larger company objective. A thorough awareness of your consumers, for example, is corporate goal. To do this, your integration strategy should aim to embed customer data into your service, sales, and marketing platforms.


Improved Financial Data Management

A robust data integration strategy allows you to monitor and manage vital financial and operational data through simple dashboards that combine all business and financial data into a single platform.

Any effective financial management system will include basic accounting capabilities that will enable you to track revenue and spending, assets and liabilities, and amortizations in order to provide accurate financial reports.


Enhanced Marketing Analytics

Data about competitors, industry trends, consumer behavior, and campaign performance should drive your marketing strategy. Update often as fresh data becomes available.

By assessing your marketing tools and channels, you can determine the optimum time, place, and technique to advertise your company. Gather data from social media, email marketing tools, CRMs, CMSs, and other platforms for marketing analytics. This also allows you to evaluate where you should spend additional resources to improve the consistency of your marketing effort.


Save Time and Resources

Business intelligence experts have a huge workload of sifting through business data.

Analysts worry less when teams have direct access to essential data. This frees them to concentrate on difficult, valuable data sets.

Without data integration platforms, even the simplest business report requires manual processing of all sources, creating code or automatically uploading data to the database, and exhausting systematization.

Not to mention the challenge to monitor and correct any human factor errors. This will be completely eliminated by integration automation.


How AI Is Enhancing the Data Integration Process?

  • Data Mapping: Businesses can map data faster using AI for insights generation and decision-making.
  • Autonomous learning: An ML-based data integration process enables autonomous learning to discover patterns and trends in the stored data.
  • Big data processing: Machine learning (ML) makes it possible to quickly and accurately transform unstructured and inconsistent data into desirable formats.


Closing Lines

Regardless of the size of your company or resources, processing and managing data correctly can expand vision of your business and customers.

As organizations rely on data analytics and business intelligence, data integration will become more user-friendly in the coming years. Data integration is an unavoidable aspect of every organization's digital transformation path. Implement the most current data integration techniques to stay ahead of your competition.

Spotlight

Clarity Insights

Clarity Insights is the largest consulting company in the US that focuses exclusively on data strategy, engineering, science and visualization. We help our clients—Fortune 1000 companies across multiple industries—leverage data and analytics to find actionable insights that can help them seize new opportunities and solve their toughest business challenges.

OTHER ARTICLES
BIG DATA MANAGEMENT

How is Data Virtualization Shifting the Tailwind in Data Management?

Article | June 1, 2022

Over the past couple of years, a significant rise in the trend of digitalization has been witnessed across almost all industries, resulting in the creation of large volumes of data. In addition, an unprecedented proliferation of applications and the rise in the use of social media, cloud and mobile computing, the Internet of Things, and others have created the need for collecting, combining, and curating massive amounts of data. As the importance of data continues to grow across businesses, companies aim to collect data from the web, social media, AI-powered devices, and other sources in different formats, making it trickier for them to manage this unstructured data. Hence, smarter companies are investing in innovative solutions, such as data virtualization, to access and modify data stored across siloed, disparate systems through a unified view. This helps them bridge critical decision-making data together, fuel analytics, and make strategic and well-informed decisions. Why is Data Virtualization Emerging as A New Frontier in Data Management? In the current competitive corporate world, where data needs are increasing at the same rate as the volume of data companies hold, it is becoming essential to manage and harness data effectively. As enterprises focus on accumulating multiple types of data, the effort of managing it has outgrown the capacity of traditional data integration tools, such as data warehouse software and Extract Transform Load (ETL) systems. With the growing need for more effective data integration solutions, high-speed information sharing, and non-stop data transmission, advanced tools such as data virtualization are gaining massive popularity among corporate firms and other IT infrastructures. Data virtualization empowers organizations to accumulate and integrate data from multiple channels, locations, sources, and formats to create a unified stream of data without any redundancy or overlap, resulting in faster integration speeds and enhanced decision-making. What are the key features that make data virtualization a new frontier in data management? Let's see: Modernize Information Infrastructure With the ability to hide the underlying systems, data virtualization allows companies to replace their old infrastructure with cutting-edge cloud applications without affecting day-to-day business operations. Enhance Data Protection Data virtualization enables CxOs to identify and isolate vital source systems from users and applications, which assists organizations in preventing the latter from making unintended changes to the data, as well as allowing them to enforce data governance and security. Deliver Information Faster and Cheaper Data replication takes time and costs money; the "zero replication" method used by data virtualization allows businesses to obtain up-to-the-minute information without having to invest in additional storage space, thereby saving on the operation cost. Increase Business Productivity By delivering data in real time, the integration of data virtualization empowers businesses to access the most recent data during regular business operations. In addition, it enhances the utilization of servers and storage resources and allows data engineering teams to do more in less time, thereby increasing productivity. Use Fewer Development Resources Data virtualization lowers the need for human coding, allowing developers to focus on the faster delivery of information at scale. With its simplified view-based methodology, data virtualization also enables CxOs to reduce development resources by around one-fourth. Data Virtualization: The Future Ahead With the growing significance of data across enterprises and increasing data volume, variety, complexity, compliance requirements, and others, every organization is looking for well-governed, consistent, and secure data that is easy to access and use. As data virtualization unifies and integrates the data from different systems, providing new ways to access, manage, and deliver data without replicating it, more and more organizations are investing in data virtualization software and solutions and driving greater business value from their data.

Read More
BIG DATA MANAGEMENT

How Artificial Intelligence Is Transforming Businesses

Article | July 6, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives.AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity.However, AI has not only transformed administrative processes and freed up more time for companies, it has also contributed to some ground-breaking moments in business, being a must-have for many in order to keep up with the competition.

Read More
BIG DATA MANAGEMENT

DRIVING DIGITAL TRANSFORMATION WITH RPA, ML AND WORKFLOW AUTOMATION

Article | July 15, 2022

The latest pace of advancements in technology paves way for businesses to pay attention to digital strategy in order to drive effective digital transformation. Digital strategy focuses on leveraging technology to enhance business performance, specifying the direction where organizations can create new competitive advantages with it. Despite a lot of buzz around its advancement, digital transformation initiatives in most businesses are still in its infancy.Organizations that have successfully implemented and are effectively navigating their way towards digital transformation have seen that deploying a low-code workflow automation platform makes them more efficient.

Read More

AI and Predictive Analytics: Myth, Math, or Magic

Article | February 10, 2020

We are a species invested in predicting the future as if our lives depended on it. Indeed, good predictions of where wolves might lurk were once a matter of survival. Even as civilization made us physically safer, prediction has remained a mainstay of culture, from the haruspices of ancient Rome inspecting animal entrails to business analysts dissecting a wealth of transactions to foretell future sales. With these caveats in mind, I predict that in 2020 (and the decade ahead) we will struggle if we unquestioningly adopt artificial intelligence (AI) in predictive analytics, founded on an unjustified overconfidence in the almost mythical power of AI's mathematical foundations. This is another form of the disease of technochauvinism I discussed in a previous article.

Read More

Spotlight

Clarity Insights

Clarity Insights is the largest consulting company in the US that focuses exclusively on data strategy, engineering, science and visualization. We help our clients—Fortune 1000 companies across multiple industries—leverage data and analytics to find actionable insights that can help them seize new opportunities and solve their toughest business challenges.

Related News

DATA VISUALIZATION, DATA ARCHITECTURE

Alteryx Ventures Announces Strategic Investment in MANTA

Alteryx | December 08, 2022

Alteryx, Inc., the Analytics Automation company, has announced a strategic investment in MANTA, the data lineage company. MANTA enables enterprises to achieve full visibility into the most complex data environments. With this investment from Alteryx Ventures, MANTA will be able to bolster product innovation, expand its partner ecosystem, and grow in key markets. Alteryx's investment in MANTA furthers the company's commitment to enterprise governance, risk, and compliance and accelerates joint product integration. MANTA empowers data professionals and IT departments to ensure data pipeline health across the enterprise. Alteryx's deep roots in enabling analytics democratization within many of the largest and most complex global enterprises makes it an ideal partner in establishing strong governance practices. Combined, the two companies create an end-to-end solution that enables organizations to deeply understand data lineage, including how data moves through a company, where it originated, how it is transformed and analyzed, and ultimately where it's used. This creates a meaningful audit trail for compliance. "We are excited to work with MANTA to help companies gain visibility into their data environments. Both companies share a common mission to enable analytics adoption at scale, The MANTA Data Lineage Platform will be a strong partner to our customers looking to efficiently grow their analytics footprint within their teams." Jay Henderson, SVP of Product Management, Alteryx Commenting on this partnership, Tomas Kratky, MANTA CEO and Founder, said, Data Lineage is becoming the cornerstone of a modern data management strategy and is at the core of advanced concepts like data fabric, enabling businesses to fully operationalize data and boost internal productivity. We are proud to partner with Alteryx to advance our innovation even further and support our growing customer base on their data journey. Alteryx Ventures invests in companies with innovative technology and services that complement Alteryx's analytics and data science products and encourage innovation within the analytics ecosystem. Alteryx's vision centers on enabling every person to achieve breakthrough outcomes from data through analytics automation, data science, and unprecedented ease of use. About MANTA MANTA is a world-class data lineage platform that helps fix your blind spots and offers a line of sight into your data environment. By automatically scanning your data environment, MANTA builds a powerful map of all data flows and delivers it through a native UI and other channels to both technical and non-technical users. With MANTA, everyone gets full visibility and control of their data pipeline. Visit getmanta.com to learn how MANTA can help your company leverage data as a true corporate asset. About Alteryx Alteryx powers analytics for all by providing our leading Analytics Automation Platform. Alteryx delivers easy end-to-end automation of data engineering, analytics, reporting, machine learning, and data science processes, enabling enterprises everywhere to democratize data analytics across their organizations for a broad range of use cases. More than 8,000 customers globally rely on Alteryx to deliver high-impact business outcomes.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY

Infleqtion Unveils SupercheQ, a Quantum Advantage for Distributed Databases

Infleqtion | December 09, 2022

Infleqtion, the global quantum ecosystem leader, today unveiled SupercheQ: Quantum Advantage for Distributed Databases, a scientific advance that extends the power of quantum computation to new applications involving distributed data. The emergence of commercial quantum hardware has been accompanied by new approaches to benchmarking quantum computers. In addition to application-centric benchmarking approaches such as Infleqtion's SupermarQ suite, scientists have developed benchmarks based on sampling from random quantum circuits. These benchmarks, including Quantum Volume, have enabled effective cross-platform comparisons, but until now have been disconnected from specific applications of quantum computers. The launch of SupercheQ changes this by endowing these random circuit sampling experiments with their first application. "SupercheQ achieves an exponential advantage for one of the most fundamental tasks in distributed computing: checking if two files are identical. "We leveraged recent advances in quantum information theory to show that the same families of circuits behind quantum volume can be used to realize this advantage." Pranav Gokhale, Vice President of Quantum Software at Infleqtion Gokhale will present SupercheQ on December 8th at Q2B in Santa Clara. Q2B, the world's largest non-academic quantum industry conference, brings together over 1,000 attendees from commercial companies and research institutions from around the world. SupercheQ has been experimentally validated by execution on superconducting quantum hardware from IBM Quantum, which also pioneered the invention of the Quantum Volume benchmarking metric. "The development of SupercheQ is an exciting step forward that starts to connect the dots between quality as measured by Quantum Volume to applications," said Jay Gambetta, IBM Fellow and Vice President of IBM Quantum. "The experimental validation on IBM Quantum hardware demonstrates the need for reliable and available hardware to advance quantum and build this industry together." In addition to the experimental validation on quantum hardware, the team performed large-scale simulations by leveraging NVIDIA GPUs, as well as the cuQuantum software development kit. "The launch of SupercheQ expands the possibilities of the tasks and types of data that can be addressed by a quantum computer," said Tim Costa, Director of HPC and Quantum Computing Products at NVIDIA. "The team's use of NVIDIA GPUs and cuQuantum has enabled them to validate SupercheQ's practical value at the scale of future quantum computers with hundreds of qubits." SupercheQ has been integrated into SuperstaQ, Infleqtion's flagship cloud quantum software platform, and the technical details behind SupercheQ have now been released in an academic paper, "SupercheQ: Quantum Advantage for Distributed Databases." Customers can get started today with a qiskit-superstaq tutorial notebook. SupercheQ is also in a private release as a new benchmark available in the SupermarQ suite. The development of SupercheQ—which requires both quantum computers and quantum networks—originates in Infleqtion's platform approach, spanning multiple quantum technologies. "We believe that the greatest advances in quantum will arise at the intersection of quantum computing, sensing, networking, and clock technologies," said Paul Lipman, Infleqtion's President of Quantum Information Platforms. "SupercheQ is an exemplar of this approach." About Infleqtion Infleqtion is building an ecosystem of quantum technologies and commercial products for today, that will drive the company and the entire industry toward tomorrow. The company believes in taking quantum to its limit and leading from the edge. Infleqtion is built on 15 years of pioneering quantum research from ColdQuanta. Its scalable and versatile quantum technology is used by organizations around the globe and deployed by NASA on the International Space Station. Infleqtion is based in Boulder, CO, with offices in Chicago, IL; Madison, WI; Melbourne, AU and Oxford, UK.

Read More

DATA VISUALIZATION

Opaque Systems, Pioneer in Confidential Computing, Unveils the First Multi-Party Confidential AI and Analytics Platform

Opaque Systems | December 08, 2022

Opaque Systems, the pioneers of secure multi-party analytics and AI for Confidential Computing, today announced the latest advancements in Confidential AI and Analytics with the unveiling of its platform. The Opaque platform, built to unlock use cases in Confidential Computing, is created by the inventors of the popular MC2 open source project which was conceived in the RISELab at UC Berkeley. The Opaque Platform uniquely enables data scientists within and across organizations to securely share data and perform collaborative analytics directly on encrypted data protected by Trusted Execution Environments (TEEs). The platform further accelerates Confidential Computing use cases by enabling data scientists to leverage their existing SQL and Python skills to run analytics and machine learning while working with confidential data, overcoming the data analytics challenges inherent in TEEs due to their strict protection of how data is accessed and used. The Opaque platform advancements come on the heels of Opaque announcing its $22M Series A funding, Confidential Computing – projected to be a $54B market by 2026 by the Everest Group – provides a solution using TEEs or 'enclaves' that encrypt data during computation, isolating it from access, exposure and threats. However, TEEs have historically been challenging for data scientists due to the restricted access to data, lack of tools that enable data sharing and collaborative analytics, and the highly specialized skills needed to work with data encrypted in TEEs. The Opaque Platform overcomes these challenges by providing the first multi-party confidential analytics and AI solution that makes it possible to run frictionless analytics on encrypted data within TEEs, enable secure data sharing, and for the first time, enable multiple parties to perform collaborative analytics while ensuring each party only has access to the data they own. "Traditional approaches for protecting data and managing data privacy leave data exposed and at risk when being processed by applications, analytics, and machine learning (ML) models, The Opaque Confidential AI and Analytics Platform solves this challenge by enabling data scientists and analysts to perform scalable, secure analytics and machine learning directly on encrypted data within enclaves to unlock Confidential Computing use cases." -Rishabh Poddar, Co-founder & CEO, Opaque Systems. Strict privacy regulations result in sensitive data being difficult to access and analyze, said a Data Science Leader at a top US bank. New multi-party secure analytics and computational capabilities and Privacy Enhancing Technology from Opaque Systems will significantly improve the accuracy of AI/ML/NLP models and speed insights. The Opaque Confidential AI and Analytics Platform is designed to specifically ensure that both code and data within enclaves are inaccessible to other users or processes that are collocated on the system. Organizations can encrypt their confidential data on-premises, accelerate the transition of sensitive workloads to enclaves in Confidential Computing Clouds, and analyze encrypted data while ensuring it is never unencrypted during the lifecycle of the computation. Key capabilities and advancements include: Secure, Multi-Party Collaborative Analytics – Multiple data owners can pool their encrypted data together in the cloud, and jointly analyze the collective data without compromising confidentiality. Policy enforcement capabilities ensure the data owned by each party is never exposed to other data owners. Secure Data Sharing and Data Privacy – Teams across departments and across organizations can securely share data protected in TEEs while adhering to regulatory and compliance policies. Use cases requiring confidential data sharing include financial crime, drug research, ad targeting monetization and more. Data Protection Throughout the Lifecycle – Protects all sensitive data, including PII and SHI data, using advanced encryption and secure hardware enclave technology, throughout the lifecycle of computation—from data upload, to analytics and insights. Multi-tiered Security, Policy Enforcement, and Governance – Leverages multiple layers of security, including Intel® Software Guard Extensions, secure enclaves, advanced cryptography and policy enforcement to provide defense in depth, ensuring code integrity, data, and side-channel attack protection. Scalability and Orchestration of Enclave Clusters – Provides distributed confidential data processing across managed TEE clusters and automates orchestration of clusters overcoming performance and scaling challenges and supports secure inter-enclave communication. Confidential Computing is supported by all major cloud vendors including Microsoft Azure, Google Cloud and Amazon Web Services and major chip manufacturers including Intel and AMD. About Opaque Systems: Commercializing the open source MC2 technology invented at UC Berkeley by its founders, Opaque System provides the first collaborative analytics and AI platform for Confidential Computing. Opaque uniquely enables data to be securely shared and analyzed by multiple parties while maintaining complete confidentiality and protecting data end-to-end. The Opaque Platform leverages a novel combination of two key technologies layered on top of state-of-the-art cloud security—secure hardware enclaves and cryptographic fortification. This combination ensures that the overall computation is secure, fast, and scalable. The MC2 technology and Opaque innovation has already been adopted by several organizations, such as Ant Group, IBM, Scotiabank, and Ericsson.

Read More

DATA VISUALIZATION, DATA ARCHITECTURE

Alteryx Ventures Announces Strategic Investment in MANTA

Alteryx | December 08, 2022

Alteryx, Inc., the Analytics Automation company, has announced a strategic investment in MANTA, the data lineage company. MANTA enables enterprises to achieve full visibility into the most complex data environments. With this investment from Alteryx Ventures, MANTA will be able to bolster product innovation, expand its partner ecosystem, and grow in key markets. Alteryx's investment in MANTA furthers the company's commitment to enterprise governance, risk, and compliance and accelerates joint product integration. MANTA empowers data professionals and IT departments to ensure data pipeline health across the enterprise. Alteryx's deep roots in enabling analytics democratization within many of the largest and most complex global enterprises makes it an ideal partner in establishing strong governance practices. Combined, the two companies create an end-to-end solution that enables organizations to deeply understand data lineage, including how data moves through a company, where it originated, how it is transformed and analyzed, and ultimately where it's used. This creates a meaningful audit trail for compliance. "We are excited to work with MANTA to help companies gain visibility into their data environments. Both companies share a common mission to enable analytics adoption at scale, The MANTA Data Lineage Platform will be a strong partner to our customers looking to efficiently grow their analytics footprint within their teams." Jay Henderson, SVP of Product Management, Alteryx Commenting on this partnership, Tomas Kratky, MANTA CEO and Founder, said, Data Lineage is becoming the cornerstone of a modern data management strategy and is at the core of advanced concepts like data fabric, enabling businesses to fully operationalize data and boost internal productivity. We are proud to partner with Alteryx to advance our innovation even further and support our growing customer base on their data journey. Alteryx Ventures invests in companies with innovative technology and services that complement Alteryx's analytics and data science products and encourage innovation within the analytics ecosystem. Alteryx's vision centers on enabling every person to achieve breakthrough outcomes from data through analytics automation, data science, and unprecedented ease of use. About MANTA MANTA is a world-class data lineage platform that helps fix your blind spots and offers a line of sight into your data environment. By automatically scanning your data environment, MANTA builds a powerful map of all data flows and delivers it through a native UI and other channels to both technical and non-technical users. With MANTA, everyone gets full visibility and control of their data pipeline. Visit getmanta.com to learn how MANTA can help your company leverage data as a true corporate asset. About Alteryx Alteryx powers analytics for all by providing our leading Analytics Automation Platform. Alteryx delivers easy end-to-end automation of data engineering, analytics, reporting, machine learning, and data science processes, enabling enterprises everywhere to democratize data analytics across their organizations for a broad range of use cases. More than 8,000 customers globally rely on Alteryx to deliver high-impact business outcomes.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY

Infleqtion Unveils SupercheQ, a Quantum Advantage for Distributed Databases

Infleqtion | December 09, 2022

Infleqtion, the global quantum ecosystem leader, today unveiled SupercheQ: Quantum Advantage for Distributed Databases, a scientific advance that extends the power of quantum computation to new applications involving distributed data. The emergence of commercial quantum hardware has been accompanied by new approaches to benchmarking quantum computers. In addition to application-centric benchmarking approaches such as Infleqtion's SupermarQ suite, scientists have developed benchmarks based on sampling from random quantum circuits. These benchmarks, including Quantum Volume, have enabled effective cross-platform comparisons, but until now have been disconnected from specific applications of quantum computers. The launch of SupercheQ changes this by endowing these random circuit sampling experiments with their first application. "SupercheQ achieves an exponential advantage for one of the most fundamental tasks in distributed computing: checking if two files are identical. "We leveraged recent advances in quantum information theory to show that the same families of circuits behind quantum volume can be used to realize this advantage." Pranav Gokhale, Vice President of Quantum Software at Infleqtion Gokhale will present SupercheQ on December 8th at Q2B in Santa Clara. Q2B, the world's largest non-academic quantum industry conference, brings together over 1,000 attendees from commercial companies and research institutions from around the world. SupercheQ has been experimentally validated by execution on superconducting quantum hardware from IBM Quantum, which also pioneered the invention of the Quantum Volume benchmarking metric. "The development of SupercheQ is an exciting step forward that starts to connect the dots between quality as measured by Quantum Volume to applications," said Jay Gambetta, IBM Fellow and Vice President of IBM Quantum. "The experimental validation on IBM Quantum hardware demonstrates the need for reliable and available hardware to advance quantum and build this industry together." In addition to the experimental validation on quantum hardware, the team performed large-scale simulations by leveraging NVIDIA GPUs, as well as the cuQuantum software development kit. "The launch of SupercheQ expands the possibilities of the tasks and types of data that can be addressed by a quantum computer," said Tim Costa, Director of HPC and Quantum Computing Products at NVIDIA. "The team's use of NVIDIA GPUs and cuQuantum has enabled them to validate SupercheQ's practical value at the scale of future quantum computers with hundreds of qubits." SupercheQ has been integrated into SuperstaQ, Infleqtion's flagship cloud quantum software platform, and the technical details behind SupercheQ have now been released in an academic paper, "SupercheQ: Quantum Advantage for Distributed Databases." Customers can get started today with a qiskit-superstaq tutorial notebook. SupercheQ is also in a private release as a new benchmark available in the SupermarQ suite. The development of SupercheQ—which requires both quantum computers and quantum networks—originates in Infleqtion's platform approach, spanning multiple quantum technologies. "We believe that the greatest advances in quantum will arise at the intersection of quantum computing, sensing, networking, and clock technologies," said Paul Lipman, Infleqtion's President of Quantum Information Platforms. "SupercheQ is an exemplar of this approach." About Infleqtion Infleqtion is building an ecosystem of quantum technologies and commercial products for today, that will drive the company and the entire industry toward tomorrow. The company believes in taking quantum to its limit and leading from the edge. Infleqtion is built on 15 years of pioneering quantum research from ColdQuanta. Its scalable and versatile quantum technology is used by organizations around the globe and deployed by NASA on the International Space Station. Infleqtion is based in Boulder, CO, with offices in Chicago, IL; Madison, WI; Melbourne, AU and Oxford, UK.

Read More

DATA VISUALIZATION

Opaque Systems, Pioneer in Confidential Computing, Unveils the First Multi-Party Confidential AI and Analytics Platform

Opaque Systems | December 08, 2022

Opaque Systems, the pioneers of secure multi-party analytics and AI for Confidential Computing, today announced the latest advancements in Confidential AI and Analytics with the unveiling of its platform. The Opaque platform, built to unlock use cases in Confidential Computing, is created by the inventors of the popular MC2 open source project which was conceived in the RISELab at UC Berkeley. The Opaque Platform uniquely enables data scientists within and across organizations to securely share data and perform collaborative analytics directly on encrypted data protected by Trusted Execution Environments (TEEs). The platform further accelerates Confidential Computing use cases by enabling data scientists to leverage their existing SQL and Python skills to run analytics and machine learning while working with confidential data, overcoming the data analytics challenges inherent in TEEs due to their strict protection of how data is accessed and used. The Opaque platform advancements come on the heels of Opaque announcing its $22M Series A funding, Confidential Computing – projected to be a $54B market by 2026 by the Everest Group – provides a solution using TEEs or 'enclaves' that encrypt data during computation, isolating it from access, exposure and threats. However, TEEs have historically been challenging for data scientists due to the restricted access to data, lack of tools that enable data sharing and collaborative analytics, and the highly specialized skills needed to work with data encrypted in TEEs. The Opaque Platform overcomes these challenges by providing the first multi-party confidential analytics and AI solution that makes it possible to run frictionless analytics on encrypted data within TEEs, enable secure data sharing, and for the first time, enable multiple parties to perform collaborative analytics while ensuring each party only has access to the data they own. "Traditional approaches for protecting data and managing data privacy leave data exposed and at risk when being processed by applications, analytics, and machine learning (ML) models, The Opaque Confidential AI and Analytics Platform solves this challenge by enabling data scientists and analysts to perform scalable, secure analytics and machine learning directly on encrypted data within enclaves to unlock Confidential Computing use cases." -Rishabh Poddar, Co-founder & CEO, Opaque Systems. Strict privacy regulations result in sensitive data being difficult to access and analyze, said a Data Science Leader at a top US bank. New multi-party secure analytics and computational capabilities and Privacy Enhancing Technology from Opaque Systems will significantly improve the accuracy of AI/ML/NLP models and speed insights. The Opaque Confidential AI and Analytics Platform is designed to specifically ensure that both code and data within enclaves are inaccessible to other users or processes that are collocated on the system. Organizations can encrypt their confidential data on-premises, accelerate the transition of sensitive workloads to enclaves in Confidential Computing Clouds, and analyze encrypted data while ensuring it is never unencrypted during the lifecycle of the computation. Key capabilities and advancements include: Secure, Multi-Party Collaborative Analytics – Multiple data owners can pool their encrypted data together in the cloud, and jointly analyze the collective data without compromising confidentiality. Policy enforcement capabilities ensure the data owned by each party is never exposed to other data owners. Secure Data Sharing and Data Privacy – Teams across departments and across organizations can securely share data protected in TEEs while adhering to regulatory and compliance policies. Use cases requiring confidential data sharing include financial crime, drug research, ad targeting monetization and more. Data Protection Throughout the Lifecycle – Protects all sensitive data, including PII and SHI data, using advanced encryption and secure hardware enclave technology, throughout the lifecycle of computation—from data upload, to analytics and insights. Multi-tiered Security, Policy Enforcement, and Governance – Leverages multiple layers of security, including Intel® Software Guard Extensions, secure enclaves, advanced cryptography and policy enforcement to provide defense in depth, ensuring code integrity, data, and side-channel attack protection. Scalability and Orchestration of Enclave Clusters – Provides distributed confidential data processing across managed TEE clusters and automates orchestration of clusters overcoming performance and scaling challenges and supports secure inter-enclave communication. Confidential Computing is supported by all major cloud vendors including Microsoft Azure, Google Cloud and Amazon Web Services and major chip manufacturers including Intel and AMD. About Opaque Systems: Commercializing the open source MC2 technology invented at UC Berkeley by its founders, Opaque System provides the first collaborative analytics and AI platform for Confidential Computing. Opaque uniquely enables data to be securely shared and analyzed by multiple parties while maintaining complete confidentiality and protecting data end-to-end. The Opaque Platform leverages a novel combination of two key technologies layered on top of state-of-the-art cloud security—secure hardware enclaves and cryptographic fortification. This combination ensures that the overall computation is secure, fast, and scalable. The MC2 technology and Opaque innovation has already been adopted by several organizations, such as Ant Group, IBM, Scotiabank, and Ericsson.

Read More

Events