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infosectrain03 · 3 months
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Microsoft Sentinel is a powerful security platform that helps organizations protect their digital assets from advanced threats and respond to security incidents. With its wide range of use cases and key capabilities, Sentinel enables security teams to detect and investigate potential threats in real time, streamline incident response, and enhance overall security posture.
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bdccglobal · 5 months
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Uncover the power of AWS with our carousel of key findings! Dive into essential AWS statistics and unlock insights you didn't know you needed.
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marklovesdata · 2 years
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Anblicks helped one of the top five transportation and logistics companies in North America to lift & shift the existing ETL SSIS packages to ADF and architected the Power BI platform. Resulting in improved business outcomes with real-time insights.
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jcmarchi · 1 month
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Palantir and Microsoft partner to provide AI services to government
New Post has been published on https://thedigitalinsider.com/palantir-and-microsoft-partner-to-provide-ai-services-to-government/
Palantir and Microsoft partner to provide AI services to government
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Palantir, a data analytics company known for its work in the defence and intelligence sectors, has announced a significant partnership with Microsoft. The collaboration aims to deliver advanced services for classified networks utilised by US defence and intelligence agencies.
According to the recent announcement, Palantir is integrating Microsoft’s cutting-edge large language models via the Azure OpenAI Service into its AI platforms. The integration will occur within Microsoft’s government and classified cloud environments. As this collaboration is the first of its kind, this specific configuration has the potential to completely transform the use of AI in critical national security missions.
Palantir, whose name draws inspiration from the potentially misleading “seeing-stones” in J.R.R. Tolkien’s fictional works, specialises in processing and analysing vast quantities of data to assist governments and corporations with surveillance and decision-making tasks. While the precise nature of the services to be offered through this partnership remains somewhat ambiguous, it is clear that Palantir’s products will be integrated into Microsoft’s Azure cloud services. This development follows Azure’s previous incorporation of OpenAI’s GPT-4 technology into a “top secret” version of its software.
The company’s journey is notable. Co-founded by Peter Thiel and initially funded by In-Q-Tel, the CIA’s venture capital arm, Palantir has grown to serve a diverse clientele. Its roster includes government agencies such as Immigration and Customs Enforcement (ICE) and various police departments, as well as private sector giants like the pharmaceutical company Sanofi. Palantir has also become deeply involved in supporting Ukraine’s war efforts, with reports suggesting its software may be utilised in targeting decisions for military operations.
Even though Palantir has operated with a large customer base for years, it only reached its first annual profit in 2023. However, with the current surge of interest in AI, the company has been able to grow rapidly, particularly in the commercial sector. According to Bloomberg, Palantir’s CEO, Alex Karp, warned that Palantir’s “commercial business is exploding in a way we don’t know how to handle.”
Despite the urgency of this mission, the company’s annual filing clearly states that it neither does business with nor on behalf of the Chinese Communist Party, nor does it plan to do so. This indicates that Palantir is especially careful in developing its customer base, considering the geopolitical implications of its work.
The announcement of this partnership has been well-received by investors, with Palantir’s share price surging more than 75 per cent in 2024 as of the time of writing. This dramatic increase reflects the market’s optimism about the potential of AI in national security applications and Palantir’s position at the forefront of this field.
Still, the partnership between Palantir and Microsoft raises significant questions about the role of AI in national security and surveillance. This is no surprise, as these are particularly sensitive areas, and the development of new technologies could potentially transform the sector forever.
More discussions and investigations are needed to understand the ethical implications of implementing these innovative tools. All things considered, the Palantir and Microsoft partnership is a significant event that will likely shape the future use of AI technologies and cloud computing in areas such as intelligence and defence.
(Photo by Katie Moum)
See also: Paige and Microsoft unveil next-gen AI models for cancer diagnosis
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Tags: artificial intelligence, cloud, llm, microsoft
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adamm95 · 2 months
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Microsoft Azure Cloud Migration Services
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rajaniesh · 2 months
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Skyrocket Your Efficiency: Dive into Azure Cloud-Native solutions
Join our blog series on Azure Container Apps and unlock unstoppable innovation! Discover foundational concepts, advanced deployment strategies, microservices, serverless computing, best practices, and real-world examples. Transform your operations!!
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iammannyj · 2 months
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What Happened with the Microsoft Crowdstrike Outage Today?
What happened with the Microsoft Crowdstrike outage today?
A major global IT outage occurred today (July 19, 2024) due to a combination of issues involving Microsoft and CrowdStrike, causing widespread disruptions across various industries. The incident was characterized by two primary problems. First, Microsoft’s Azure Cloud Platform experienced an outage beginning last night, affecting its 365 apps and services. Second, a faulty software update pushed…
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rysun-labs · 2 months
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ifitechsolu1pg2 · 2 months
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Our Azure cloud consulting services enable you with end-to-end support for cloud migration, development & optimization to address your business needs.
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poojalate · 2 months
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How Leading Companies Are Leveraging Infrastructure as a Service (IaaS)
As businesses increasingly turn to digital solutions, Infrastructure as a Service (IaaS) has emerged as a vital component for modern enterprises. By utilizing cloud platforms, companies can enhance their agility, scalability, and cost-efficiency. This article explores infrastructure as a service examples and how leading companies are leveraging IaaS providers to drive innovation and growth.
What is Infrastructure as a Service (IaaS)?
IaaS is a cloud computing service model that delivers virtualized computing resources over the internet. It enables businesses to rent infrastructure components like servers, storage, and networking, rather than investing in physical hardware. This flexibility allows companies to scale resources according to their needs and focus on core activities without the burden of managing IT infrastructure.
1. Netflix: Enhancing Scalability and Performance
Cloud Infrastructure Examples
Netflix, the global streaming giant, leverages IaaS to manage its vast content library and ensure seamless streaming experiences for millions of users worldwide. By using IaaS providers like Amazon Web Services (AWS), Netflix can quickly scale its infrastructure to handle peak loads, such as new releases or seasonal spikes in viewership. This scalability ensures high performance and availability, crucial for maintaining customer satisfaction.
2. Airbnb: Optimizing Resource Management
IaaS Use Cases
Airbnb, the popular online marketplace for lodging, utilizes IaaS to manage its global operations. The company employs cloud services examples like dynamic scaling to match infrastructure resources with fluctuating demand. During peak travel seasons or significant events, Airbnb can scale up its infrastructure to accommodate increased traffic, ensuring reliable service and user experience.
3. Slack: Ensuring Data Security and Compliance
Cloud Platforms
Slack, a leading collaboration platform, relies on IaaS for data security and regulatory compliance. By partnering with IaaS providers like Google Cloud Platform (GCP), Slack benefits from advanced security features, including encryption and compliance with industry standards such as GDPR and HIPAA. This ensures that sensitive business communications remain secure and compliant with regulations.
4. Pinterest: Enhancing Development and Innovation
IaaS Providers
Pinterest, a visual discovery and bookmarking platform, leverages IaaS to accelerate development cycles and foster innovation. Using cloud platforms like Microsoft Azure, Pinterest provides its developers with the tools and resources needed to build, test, and deploy new features rapidly. This agile development environment supports continuous improvement and innovation.
5. Spotify: Delivering Seamless Music Streaming
Cloud Infrastructure Examples
Spotify, the music streaming service, utilizes IaaS to manage its extensive music catalog and deliver high-quality streaming experiences. By using cloud platforms like Google Cloud, Spotify ensures that users can access their favorite music anytime, anywhere. The scalable infrastructure allows Spotify to handle millions of concurrent users without compromising performance.
6. Coca-Cola: Supporting Global Operations
IaaS Use Cases
Coca-Cola, a global beverage leader, uses IaaS to support its worldwide operations. By partnering with IaaS providers like IBM Cloud, Coca-Cola manages its supply chain, customer data, and digital marketing initiatives across different regions. This integrated approach enables Coca-Cola to maintain consistency and efficiency in its global operations.
7. Twitter: Managing Real-Time Data
Cloud Services Examples
Twitter, the social media platform, leverages IaaS to manage and process vast amounts of real-time data. Using cloud platforms like AWS, Twitter can handle high volumes of tweets, mentions, and user interactions with minimal latency. This capability is crucial for delivering real-time updates and maintaining user engagement.
8. General Electric: Facilitating Industrial IoT
IaaS Providers
General Electric (GE) uses IaaS to power its Industrial Internet of Things (IIoT) initiatives. By utilizing cloud platforms like Microsoft Azure, GE connects industrial equipment and collects data to optimize performance and predict maintenance needs. This data-driven approach enhances operational efficiency and reduces downtime.
9. eBay: Ensuring High Availability
Cloud Infrastructure Examples
eBay, the e-commerce giant, employs IaaS to ensure high availability and reliability for its global marketplace. By using IaaS providers like AWS, eBay can quickly scale its infrastructure to handle large volumes of transactions and user interactions. This reliability is essential for maintaining trust and satisfaction among buyers and sellers.
10. Zoom: Supporting Remote Communication
IaaS Use Cases
Zoom, the video conferencing service, relies on IaaS to support its global user base. By leveraging cloud platforms like Oracle Cloud, Zoom ensures high-quality video and audio communication, even during peak usage times. This scalability and reliability are critical for supporting remote work and virtual events.
Conclusion
Leading companies across various industries are leveraging Infrastructure as a Service (IaaS) to enhance scalability, performance, security, and innovation. By partnering with top IaaS providers and utilizing cloud infrastructure services, these businesses can stay agile, competitive, and responsive to market demands. Whether it's optimizing resource management, ensuring data security, or supporting global operations, IaaS provides the flexibility and power needed to drive business success in the digital age.
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infosectrain03 · 3 months
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Azure Data Factory (ADF) is a cloud-based data integration service provided by Microsoft Azure. It is designed to enable organizations to create, schedule, and manage data pipelines that can move data from various source systems to destination systems, transforming and processing it along the way.
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bdccglobal · 1 year
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Level Up Your Cloud Security Game with Azure Sentinel: Explore the Power of SIEM & SOAR. Stay Ahead of Threats.
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emmastonees11 · 4 months
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Azure Cloud Services: Changing Business and Technology
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The approach of cloud computing has altered how businesses work, offering excellent adaptability, flexibility, and sufficiency. Among the important suppliers here, Microsoft Azure stands isolated for the exhaustive set-up of cloud services to manage an expansive grouping of business needs. This article inspects the different Azure cloud services, their advantages, and how they are changing businesses across the globe.
Preface To Azure Cloud Services
Microsoft Azure, transported off in 2010, has shaped change into an energetic and versatile cloud stage, presenting in excess of 200 services. These services range computing, figuring out, limit, evaluation, man-made mindfulness (PC-based information), Web of Things (IoT), and that is only a brief look at something bigger. Azure's foundation is spread across 60+ districts all around the planet, guaranteeing high transparency and indisputable dreariness.
Key Game Plans Of Azure Cloud Services
Figure Services
Azure gives different computing choices to run applications and regulate occupations.
Virtual Machines (VMs): Offer the adaptability to make and direct Windows or Linux VMs, scaling from little to massive occasions subject to the circumstance.
Azure Kubernetes Association (AKS): Streamlines sending, making due, and scaling containerized applications utilizing Kubernetes.
Azure Limits: Draws in serverless computing, permitting organizers to run code on-request without provisioning framework.
Limit Services
Azure offers versatile and secure breaking point plans.
Azure Mass Hoarding: Article gathering association for unstructured information like text and equivalent information.
Azure Chronicle Hoarding: Gives managed record shares open through the SMB show.
Azure Circle Aggregating: Transcendent execution block limit concerning use with Azure VMs.
Figuring Out Services: Azure's straightening out limits guarantee secure areas of strength for and.
Azure Virtual Affiliation
Permits the course of action of private relationship in the cloud, working with secure correspondence between Azure assets.
Azure Weight Balancer : Dissipates pushing toward affiliation traffic across different VM occasions to guarantee high accessibility.
Azure VPN Area: Fans out secure connection between on-premises affiliations and Azure.
Educational list Services: Azure offers a degree of instructive record services to suit various requirements.
Azure SQL Information Base 
Directed social enlightening assortment help considering SQL Server.
Azure Universe Db: All around the planet dissipated, multi-model educational assortment help expected for adaptable and five star execution applications.
Azure Instructive Record For Mysql/Postgresql: Completely coordinated varieties of prominent open-source enlightening assortments.
Appraisal And Colossal Information: Azure's assessment services solid areas for give from information.
Azure Neurotransmitter Assessment 
Worked with appraisal association cementing huge information and information warehousing.
Azure Databricks: Apache Streak based assessment stage for gigantic information and man-made knowledge commitments.
Azure Information Lake Putting Away: Versatile cutoff as for huge information assessment.
Reproduced Information And Man-Made Knowledge: Azure gives a degree of automated thinking and ML services to make shrewd applications.
Azure Man-Made Brainpower
Escalated help for building, arranging, and conveying PC based knowledge models.
Azure Mental Services: Pre-created APIs that add repeated information limits, for example, vision, talk, language understanding, and decision creation to applications.
Azure Bot Association: Stage for building and directing smart bots.
Web of Things (IoT)
Azure's IoT services empower the production of related applications.
Azure Iot Center: Focal message place point for bi-directional correspondence between IoT applications and contraptions.
Azure Iot Focal: Completely controlled IoT application stage that improves the new turn of events and sending of IoT plans.
Azure Undeniable Level Twins: Spreads out serious automated models of authentic conditions to acquire snippets of data and further foster activities.
DevOps and Improvement Instruments
Azure help steady mix and development (CI/Collection).
Azure DevOps: Set-up of headway instruments for coordinating, making, conveying, and overseeing applications.
GitHub Endeavor: Coordination with GitHub for source code the board and joint effort.
Azure Pipelines: CI/Plate association for building, testing, and sending code.
Security And Identity
Azure emphasizes robust security and identity management.
Security And Character: Azure areas of strength for underlines and character the board.
Azure Security Social Class: Bound together security the board framework giving unquestionable level gamble confirmation across crossbreed cloud conditions.
Azure Key Vault: Safely stores and regulates delicate data like keys, mysteries, and affirmations.
Advantages Of Azure Cloud Services
Adaptability: Azure draws in businesses to extend assets or down taking into account revenue, guaranteeing ideal execution and cost-productivity.
Flexibility: With a wide bundle of services and contraptions, Azure sponsorships different programming vernaculars, plans, and working frameworks, permitting businesses to pick the most insightful answers for their necessities.
Cost Proficiency: Azure's pay even more similarly as costs arise evaluating model assists businesses with decreasing capital usage and just compensation for what they use.
By And Large Come To: Azure's far reaching in general relationship of server farms guarantees high receptiveness, clear overt repetitiveness, and consistence with local information impact necessities.
Security And Consistence: Azure gives exhaustive security highlights and consistence demands, guaranteeing information affirmation and administrative consistence.
Movement: Steady updates and new help responsibilities with empowering businesses to use the most recent headways and remain before the obstruction.
Changing Undertakings With Azure Cloud Services
Azure Cloud Services are driving change across different undertakings by connecting new business models, working on utilitarian ampleness, and further creating client encounters.
Clinical Advantages: Azure assists clinical advantages suppliers with working on getting a handle on thoroughly examined information the board, high level assessment, and imitated understanding driven diagnostics. For example, Azure Thriving Bot consolidates man-made mental ability and clinical thought information to give changed clinical direction and data.
Finance: Cash related foundations utilize Azure for risk the board, intimidation region, and administrative consistence. Azure's solid security and consistence structures assist with safeguarding interesting cash related information while drawing in imaginative monetary services.
Retail: Azure enables retailers with altered client encounters, redesigned creation network the board, and information driven course. Azure PC based understanding and assessment instruments assist retailers with making sense of client lead and propensities, driving better displaying structures and courses of action.
Fabricating: Producers influence Azure IoT and evaluation services for farsighted upkeep, quality control, and store network update. Perpetual information from related contraptions further makes creation ampleness and decline edge time.
Government: Government affiliations utilize Azure to work on open services, guarantee information security, and agree with administrative necessities. Azure's adaptability and flexibility support a wide variety of government applications, from tenant services to safeguard structures.
Mentoring: Edifying establishments take on Azure for remote learning plans, information the pioneers, and high level appraisal. Azure sponsorships virtual homerooms, supportive learning stages, and changed open entryways for advancement.
Auto: The auto business includes Azure for related vehicle approaches, free driving, and smart conveyability. Azure's IoT and PC based information services empower persistent information dealing with and high level appraisal, redesiging vehicle security and productivity.
Future Models and Movements
The predetermination of Azure cloud services looks engaging, with unending sorts of progress in technology and new help responsibilities. Key models include:
Edge Computing: As edge computing turns out to be more typical, Azure's getting along with edge contraptions will give speedier information dealing with and lower lethargy for fundamental applications.
Quantum Computing: Azure Quantum hopes to bring the force of quantum computing to the cloud, managing complex issues that are at this point past the constraints of standard workstations.
Pc Based Information And Man-Made Knowledge: Went on with sorts of headway in man-made understanding and computerized reasoning will chip away at Azure's abilities, offering more current and shocking assets for businesses.
Crossbreed Cloud Blueprints: Azure Bend and other crossover cloud plans will connect consistent mix between on-premises conditions and the cloud, offering more obvious adaptability and control.
Adequacy: Microsoft's obligation to sensibility will drive the improvement of energy-effective server farms and harmless to the climate cloud blueprints.
Microsoft Azure has gotten itself as a chief cloud stage, surrendering a hard and fast blueprint of services that take extraordinary idea of various business needs. Its solid groundwork, broad assistance obligations, and commitment to advance seek after it an inclined toward choice for affiliations wanting to utilize the power of the cloud. As Azure re-appearances of make and enlarge its abilities, it will expect an essential part in trim the destiny of business and technology, driving electronic change and enabling extra doorways. Whether it's refreshing important capability, further making client experiences, or driving development, Azure cloud services are at the extreme forefront of drawing in businesses to achieve
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sifytechnologiessify · 8 months
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Empowering Your Azure Journey: Sify's Managed Cloud Services
In today’s digital age, cloud computing has become the cornerstone of modern business operations, offering unparalleled scalability, flexibility, and efficiency. Among the leading cloud platforms, Microsoft Azure stands out as a powerful ecosystem for innovation and growth. Enter Sify Technologies Limited, a trusted partner in your Azure journey, offering comprehensive managed cloud services that unlock the full potential of the Azure platform and empower businesses to achieve their goals with confidence.
Seamless Migration and Onboarding
Embarking on your Azure journey can be daunting, but with Sify’s managed cloud services, the transition is seamless. Whether you’re migrating existing workloads to Azure or onboarding new applications, Sify’s team of experts guides you through every step of the process, ensuring a smooth and efficient migration with minimal disruption to your operations. With meticulous planning, thorough testing, and best-in-class tools and methodologies, Sify ensures that your journey to the cloud is a success from day one.
Optimized Performance and Cost Efficiency
Once your workloads are in the Azure cloud, Sify’s managed services ensure optimal performance and cost efficiency at every turn. Leveraging advanced monitoring and management tools, Sify’s team continuously monitors your Azure environment, identifying opportunities for optimization and fine-tuning performance to meet your specific requirements. From optimizing resource utilization to implementing cost-saving strategies, Sify helps you get the most out of your Azure investment, maximizing ROI and driving long-term value for your business.
Enhanced Security and Compliance
Security is paramount in the cloud, and Sify takes it seriously. With robust security measures and best practices, Sify ensures that your data and applications are protected against threats and vulnerabilities at all times. From implementing multi-factor authentication and encryption to conducting regular security audits and compliance assessments, Sify goes above and beyond to safeguard your assets and maintain regulatory compliance, giving you peace of mind in an increasingly complex threat landscape.
24/7 Support and Expert Guidance
In the fast-paced world of cloud computing, support is essential — and Sify delivers. With round-the-clock support and expert guidance from a dedicated team of Azure-certified professionals, Sify ensures that help is always just a phone call or email away. Whether you need technical assistance, strategic guidance, or proactive monitoring and maintenance, Sify is there to support you every step of the way, empowering you to focus on what you do best while we take care of the rest.
Unlock the Full Potential of Azure with Sify
Ready to take your Azure journey to the next level? Partner with Sify and unlock the full potential of Microsoft Azure with our comprehensive managed cloud services. From seamless migration and optimized performance to enhanced security and round-the-clock support, Sify provides everything you need to succeed in the cloud. Join forces with Sify today and discover a world of endless possibilities in the Azure cloud.
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jcmarchi · 2 months
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Tracking emissions to help companies reduce their environmental footprint
New Post has been published on https://thedigitalinsider.com/tracking-emissions-to-help-companies-reduce-their-environmental-footprint/
Tracking emissions to help companies reduce their environmental footprint
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Amidst a global wave of corporate pledges to decarbonize or reach net-zero emissions, a system for verifying actual greenhouse gas reductions has never been more important. Context Labs, founded by former MIT Sloan Fellow and serial entrepreneur Dan Harple SM ’13, is rising to meet that challenge with an analytics platform that brings more transparency to emissions data.
The company’s platform adds context to data from sources like equipment sensors and satellites, provides third-party verification, and records all that information on a blockchain. Context Labs also provides an interactive view of emissions across every aspect of a company’s operations, allowing leaders to pinpoint the dirtiest parts of their business.
“There’s an old adage: Unless you measure something, you can’t change it,” says Harple, who is the firm’s CEO. “I think of what we’re doing as an AI-driven digital lens into what’s happening across organizations. Our goal is to help the planet get better, faster.”
Context Labs is already working with some of the largest energy companies in the world — including EQT, Williams Companies, and Coterra Energy — to verify emissions reductions. A partnership with Microsoft, announced at last year’s COP28 United Nations climate summit, allows any organization on Microsoft’s Azure cloud to integrate their sensor data into Context Lab’s platform to get a granular view of their environmental impact.
Harple says the progress enables more informed sustainability initiatives at scale. He also sees the work as a way to combat overly vague statements about sustainable practices that don’t lead to actual emissions reductions, or what’s known as “greenwashing.”
“Just producing data isn’t good enough, and our customers realize that, because they know even if they have good intentions to reduce emissions, no one is going to believe them,” Harple says. “One way to think about our platform is as antigreenwashing insurance, because if you get attacked for your emissions, we unbundle the data like it’s in shrink-wrap and roll it back through time on the blockchain. You can click on it and see exactly where and how it was measured, monitored, timestamped, its serial number, everything. It’s really the gold standard of proof.”
An unconventional master’s
Harple came to MIT as a serial founder whose companies had pioneered several foundational internet technologies, including real-time video streaming technology still used in applications like Zoom and Netflix, as well as some of the core technology for the popular Chinese microblogging website Weibo.
Harple’s introduction to MIT started with a paper he wrote for his venture capital contacts in the U.S. to make the case for investment in the Netherlands, where he was living with his family. The paper caught the attention of MIT Professor Stuart Madnick, the John Norris Maguire Professor of Information Technology at the MIT Sloan School of Management, who suggested Harple come to MIT as a Sloan Fellow to further develop his ideas about what makes a strong innovation ecosystem.
Having successfully founded and exited multiple companies, Harple was not a typical MIT student when he began the Sloan Fellows program in 2011. At one point, he held a summit at MIT for a group of leading Dutch entrepreneurs and government officials that included tours of major labs and a meeting with former MIT President L. Rafael Reif.
“Everyone was super enamored with MIT, and that kicked off what became a course that I started at MIT called REAL, Regional Entrepreneurial Acceleration Lab,” Harple says. REAL was eventually absorbed by what is now REAP — the Regional Entrepreneurship Acceleration Program, which has worked with communities around the world.
Harple describes REAL as a framework vehicle to put his theories on supporting innovation into action. Over his time at MIT, which also included collaborating with the Media Lab, he systematized those theories into what he calls pentalytics, which is a way to measure and predict the resilience of innovation ecosystems.
“My sense was MIT should be analytical and data-driven,” Harple says. “The thesis I wrote was a framework for AI-driven network graph analytics. So, you can model things using analytics, and you can use AI to do predictive analytics to see where the innovation ecosystem is going to thrive.”
Once Harple’s pentalytics theory was established, he wanted to put it to the test with a company. His initial idea for Context Labs was to build a verification platform to combat fake news, deepfakes, and other misinformation on the internet. Around 2018, Harple met climate investor Jeremy Grantham, who he says helped him realize the most important data are about the planet. Harple began to believe that U.S. Environmental Protection Agency (EPA) emissions estimates for things like driving a car or operating an oil rig were just that — estimates — and left room for improvement.
“Our approach was very MIT-ish,” Harple says. “We said, ‘Let’s, measure it and let’s monitor it, and then let’s contextualize that data so you can never go back and say they faked it. I think there’s a lot of fakery that’s happened, and that’s why the voluntary carbon markets cratered in the last year. Our view is they cratered because the data wasn’t empirical enough.”
Context Labs’ solution starts with a technology platform it calls Immutably that continuously combines disparate data streams, encrypts that information, and records it on a blockchain. Immutably also verifies the information with one or more third parties. (Context Labs has partnered with the global accounting firm KPMG.)
On top of Immutably, Context Labs has built applications, including a product called Decarbonization-as-a-Service (DaaS), which uses Immutably’s data to give companies a digital twin of their entire operations. Customers can use DaaS to explore the emissions of their assets and create a certificate of verified CO2-equivalent emissions, which can be used in carbon credit markets.
Putting emissions data into context
Context Labs is working with oil and gas companies, utilities, data centers, and large industrial operators, some using the platform to analyze more than 3 billion data points each day. For instance, EQT, the largest natural gas producer in the U.S., uses Context Labs to verify its lower-emission products and create carbon credits. Other customers include the nonprofits Rocky Mountain Institute and the Environmental Defense Fund.
“I often get asked how big the total addressable market is,” Harple says. “My view is it’s the largest market in history. Why? Because every country needs a decarbonization plan, along with instrumentation and a digital platform to execute, as does every company.”
With its headquarters in Kendall Square in Cambridge, Massachusetts, Context Labs is also serving as a test for Harple’s pentalytics theory for innovation ecosystems. It also has operations in Houston and Amsterdam.
“This company is a living lab for pentalytics,” Harple says. “I believe Kendall Square 1.0 was factory buildings, Kendall Square 2.0 is biotech, and Kendall Square 3.0 will be climate tech.”
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adamm95 · 2 months
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Definition and Types of Cloud Migration
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