Cyber Security Edge Analytics

For most, “analytics” represents a broad term, and rightfully so. As the prevailing winds of digital transformation continue to push interconnection to the digital edge, a plethora of real-time analytics requirements (and capabilities) have irreversibly raised the ante for immediately available insights on topics as far ranging as petroleum futures and retail purchasing trends to the depths of cyber security counter-intelligence.

Spotlight

Yext

Yext (NYSE: YEXT) helps organizations build digital experiences across any channel on our open and composable platform. The Yext Digital Experience Platform collects and organizes content to deliver AI-led experiences for any organization’s customers, employees, or partners. For more than 15 years, thousands of companies worldwide have trusted Yext to create seamless customer experiences at scale across search engines, websites, mobile apps, and hundreds of other digital touchpoints. Learn more at yext.com.

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AI Tech

Are Telcos Ready for a Quantum Leap?

Article | September 8, 2023

Quantum technologies present both an opportunity for telcos to solve difficult problems and provide new services and a security threat that could require extensive IT investment. Are Telcos Ready for a Quantum Leap? When Andrew Lord, Senior Manager, Optical Networks and Quantum Research at BT, first started presenting quantum technologies at customer events six or seven years ago, his was the graveyard shift, he says, entertaining attendees at the end of the day with talk of 'crazy quantum stuff.' "But that is no longer the case," says Lord. "Over the last two years, I've noticed a shift where I now speak before lunch, and customers actively seek us out." Two developments may be causing the shift: Customers’ growing awareness of the threats and opportunities that quantum computing presents, plus a recent spike in investment in quantum technology. In 2022, investors plowed $2.35 billion into quantum technology startups, which include companies in quantum computing, communications and sensing, according to McKinsey. The public sector has also been digging deep into its pockets. Last year, the United States added $1.8 billion to its previous spending on quantum technology, and the EU committed an extra $1.2 billion, the consultancy noted, while China made total investments of $15.3 billion. According to Luke Ibbetson, Head of Group R&D at Vodafone, quantum computing's promise lies in solving a probabilistic equation within a few hours. This task would take a classical computer a million years to accomplish. This breakthrough would enable telcos to address optimization problems related to network planning, optimization, and base station placement. The flip side is that a powerful quantum computer could also break the public-key cryptography that protects today’s IT systems from hackers. As a spokesperson at Deutsche Telekom remarks: “Telcos will have to react to the threat of quantum computers to communication security because their core business model is at risk, which is offering secure digital communications.” The idea of quantum computing posing a security threat is not new. In 1994, Peter Shor, a mathematician working at AT&T Bell Labs, showed how a quantum computer could solve the logarithms used to encrypt data. “His work simultaneously ignited multiple new lines of research in quantum computing, information science, and cryptography,” according to an article by the Massachusetts Institute of Technology, where Shor is currently working. Beyond The Lab What has changed nearly thirty years on is that quantum computing is creeping out of the lab. Sizeable obstacles to large-scale quantum computing, however, remain. Quantum computers are highly sensitive to interference from noise, temperature, movement or electromagnetic fields and, therefore, very difficult and expensive to build and operate, especially at scale: IBM’s latest quantum processor, for example, operates at a very low temperature of approximately 0.02 degrees Kelvin. When Deutsche Telekom’s T-Labs tested telco use cases, it found quantum computing coped well with small problem statements. “However, when the problem size was scaled to real-world problem sizes, the quality of the QComp solution degraded,” according to the spokesperson. The company is now awaiting the next generation of quantum computing platforms to redo the analyses. All of this means, for now, quantum computers are not large and powerful enough to crack Shor’s algorithm. The question is, when will someone succeed? The Global Risk Institute tracks the quantum threat timeline. In its latest annual report, the organization asked 40 quantum experts whether they thought it likely that within the next ten years, a quantum computer would break an encryption scheme like RSA-2048 in under 24 hours. Over half the respondents judged the event to be more than 5% likely, and almost a quarter considered it to be more than 50% likely. Any breakthrough will come from a relatively small number of actors. Today, governments and academic institutions are home to around half of the 163 projects accounted for worldwide by Global Quantum Intelligence, a research and analysis company, according to its CEO, André M. König, with big technology companies and specialized startups accounting for the rest. Q2K Nonetheless, the impact of quantum computing could be widespread, even if relatively few of them are built. The challenge of preparing for a post-quantum future is often called Q2K in reference to the Y2K bug. In the late 1990s, many (but not all) governmental organizations and companies spent millions of dollars on Y2K systems integration to ensure that IT programs written from the 1960s through the 1980s would be able to recognize dates after December 31, 1999, all while being uncertain of the scale or the impact of the risk if they didn’t. ‘Q2K’ differs in that there is no specific deadline, and the dangers of a major security breach are much clearer cut. However, it is similar in demanding a lot of work on aging systems. “Cryptography is used everywhere,” points out Lory Thorpe, IBM’s Director of Global Solutions and Offerings, Telecommunications. She adds, “Because telco systems have been built over periods of decades, people don’t actually know where cryptography is being used. So, if you start to look at the impact of public key cryptography and digital signatures being compromised, you start to look at how those two things impact open source, how that impacts the core network, the radio network, [and] OSS/BSS, network management, how the network management speaks to the network functions and so on.” This complexity is why some analysts recommend that telcos take action now. “You’re going to find tens of thousands of vulnerabilities that are critical and vulnerable to a quantum attack. So, do you have to worry about it today? Absolutely - even if it’s in 2035,” says König. “Anyone who has ever done [IT implementation projects], and anyone who’s ever worked in cybersecurity [knows], tens of thousands of vulnerabilities that are critical [requires] years and years and years of just traditional integration work. So, even if you’re skeptical about quantum, if you haven’t started today, it is almost too late already.” Don’t Panic! For the past two to three years, Vodafone has been preparing to migrate some of its cryptographic systems to be quantum-safe, according to Ibbetson. He believes there is no need to panic about this. However, telcos must start planning now. König said, "The telecoms industry as a whole is not moving as quickly as some other sectors, notably the banking, pharmaceutical, and automotive industries. In these sectors, post-quantum security planning often involves CEOs at a very strategic level." For this reason, Vodafone joined forces with IBM in September 2022 to establish the GSMA Post-Quantum Telco Network Taskforce. “Even though many industries are preparing to be able to defend against future quantum threats, we didn’t see anything happening particularly in in the telco space, and we wanted to make sure that it was a focus,” says Ibbetson. “Obviously it will turn into an IT-style transformation, but it’s starting now with understanding what it is we need to mobilize that.” AT&T has also been working to pinpoint what needs to be addressed. Last year, the company said it aims to be quantum-ready by 2025, in the sense that it will have done its due diligence and identified a clear path forward. Minding Your PQCs Companies across multiple sectors are looking to post-quantum cryptography (PQC) to secure their systems, which will use new algorithms that are much harder to crack than RSA. König contends that PQC needs to become “a standard component of companies’ agile defense posture” and believes the development of PQC systems by software and hardware companies will help keep upgrade costs under control. “From a financial point of view, vendors do a fantastic job bringing this to market and making it very accessible,” says König. Lord, who has been researching quantum technologies at BT for over a decade, is also confident that there is “going to be much more available technology.” As a result, even smaller telcos will be able to invest in securing their systems. “It doesn't need a big boy with lots of money [for] research to do something around PQC. There’s a lot of work going on to ratify the best of those solutions,” says Lord. There are several reasons why eyes are on software based PQC. Firstly, it can be used to secure data that was encrypted in the past, quantum computing advances will make vulnerable in the future. In addition, the quantum-based alternative to PQC for securing network traffic called quantum key distribution (QKD), comes with a huge drawback for wireless operators. QKD is hardware-based and uses quantum mechanics to prevent interception across optical fiber and satellite (i.e., free space optical) networks, making it secure, albeit expensive. But for reasons of physics, it does not work on mobile networks. Setting Standards Given the importance of PQC, a lot of effort is going into standardizing robust algorithms. The political weight of the US and the size of its technology industry mean that the US government’s National Institute of Standards and Technology (NIST) is playing a key role in the technical evaluation of post-quantum standardization algorithms and creating standards. NIST expects to publish the first set of post-quantum cryptography standards in 2024. In the meantime, Dustin Moody, a NIST mathematician, recommends (in answers emailed to inform) that companies “become familiar and do some testing with the algorithms being standardized, and how they will fit in your products and applications. Ensure that you are using current best-practice cryptographic algorithms and security strengths in your existing applications. Have somebody designated to be leading the effort to transition. QKD There is no absolute guarantee, however, that a quantum computer in the future won’t find a way to crack PQC. Therefore, institutions such as government agencies and banks remain interested in using QKD fiber and satellite networks to ensure the highest levels of security for data transmission. The European Commission, for example, is working with the 27 EU Member States and the European Space Agency (ESA) to design, develop and deploy a QKD-based European Quantum Communication Infrastructure (EuroQCI). It will be made up of fiber networks linking strategic sites at national and cross-border levels and a space segment based on satellites. EuroQCI will reinforce the protection of Europe’s governmental institutions, their data centers, hospitals, energy grids, and more,” according to the EU. Telecom operators are involved in some of the national programs, including Orange, which is coordinating France’s part of the program called FranceQCI (Quantum Communication Infrastructure). Separately, this month, Toshiba and Orange announced they had successfully demonstrated the viability of deploying QKD on existing commercial networks. Outside the EU, BT has already built and is now operating a commercial metro quantum-encryption network in London. “The London network has three quantum nodes, which are the bearers carrying the quantum traffic for all of the access ingress,” explains Lord. For example, a customer in London's Canary Wharf could link via the network to the nearest quantum-enabled BT exchange. From there, it joins a metro network, which carries the keys from multiple customers “in an aggregated cost-effective way to the egress points,” according to Lord. “It is not trivial because you can mess things up and [get] the wrong keys,” explains Lord. “You really have to be more careful about authentication and key management. And then it's all about how you engineer your quantum resources to handle bigger aggregation.” It also gives BT the opportunity to explore how to integrate quantum systems downstream into its whole network. “What I'm telling the quantum world is that they need to get into the real world because a system that uses quantum is still going to be 90%, non-quantum and all of the usual networking rules and engineering practices apply. You still need to know how to handle fiber. You still need to know how to provision a piece of equipment and integrate it into a network.” SK Telecom is also heavily involved in quantum-related research, with developments including QKD systems for the control and interworking of quantum cryptography communication networks. Japan is another important center of QKD research. A QKD network has existed in Tokyo since 2010, and in 2020, financial services company Nomura Securities Co., Ltd. tested the transmission of data across the Tokyo QKD network. As the EU’s project makes clear, satellite is an important part of the mix. Lord expects satellite-based QKD networks to come on stream as of 2025 and 2026, enabling the purchase of wholesale quantum keys from a dedicated satellite quantum provider. Back in 2017, China already used the satellite to make the first very long-distance transmission of data secured by QKD between Beijing and Vienna, a distance of 7,000km. Securing The Edge There are additional efforts to secure communications with edge devices. BT’s Lord, for example, sees a role for digital fingerprints for IoT devices, phones, cars and smart meters in the form of a physical unclonable function (PUF) silicon chip, which, because of random imperfections in its manufacture, cannot be copied. In the UK, BT is trialing a combination of QKD and PUF to secure the end-to-end journey of a driverless car. The connection to the roadside depends on standard radio with PUF authentication, while transmission from the roadside unit onward, as well as the overall control of the autonomous vehicle network, incorporate QKD, explains Lord. SK Telecom has developed what it describes as a quantum-enhanced cryptographic chip with Korea Computer & Systems (KCS) and ID Quantique. Telefónica Spain has partnered on the development of a quantum-safe 5G SIM card and has integrated quantum technology into its cloud service hosted in its virtual data centers. Given China’s heavy investment in quantum technologies, it is no surprise to see its telecom operators involved in the field. China Telecom, for example, recently invested three billion yuan ($434m) in quantum technology deployment, according to Reuters. Quantum in The Cloud Some of America's biggest technology companies are investing in quantum computing. Today, it is even possible to access quantum computing facilities via the cloud, albeit at on small scale. IBM's cloud access to quantum computers is free for the most basic level, rising to $1.60 per second for the next level. And it is just the beginning. America's big tech companies are racing to build quantum computers at scale. One measure of scale is the size of a quantum processor, which is measured in qubits. While a traditional computer stores information as a 0 or 1, a qubit can represent both 0 and 1 simultaneously. This unique property enables a quantum computer to explore multiple potential solutions to a problem simultaneously; and the greater the stability of its qubits, the more efficient it becomes. IBM has a long history in quantum research and development. In 1998, it unveiled what was then a ground-breaking 2-qubit computer. By 2022, it had produced a 433-qubit processor, and in 2023, it aims to produce a 1,121-qubit processor. Separately, this month, it announced the construction of its first quantum data center in Europe, which it expects to begin offering commercial services as of next year. Google is also firmly in the race to build a large-scale quantum computer. In 2019, a paper in Nature featured Google’s Sycamore processor and the speed with which it undertakes computational tasks. More recent work includes an experimental demonstration of it’s possible to reduce errors by increasing the number of qubits. Microsoft reckons that "a quantum machine capable of solving many of the hardest problems facing humanity will ultimately require at least 1 million stable qubits that can perform 1 quintillion operations while making at most a single error." To this end, it is working on what it calls a new type of qubit, a topological qubit. Amazon announced in 2021 an AWS Center for Quantum Computing on the Caltech campus to build a fault-tolerant quantum computer.

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Neural Networks

Empowering Industry 4.0 with Artificial Intelligence

Article | September 15, 2023

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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Software, Future Tech, Application Development Platform

How Artificial Intelligence Is Transforming Businesses

Article | August 16, 2023

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

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The advances of AI in healthcare

Article | February 11, 2020

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Spotlight

Yext

Yext (NYSE: YEXT) helps organizations build digital experiences across any channel on our open and composable platform. The Yext Digital Experience Platform collects and organizes content to deliver AI-led experiences for any organization’s customers, employees, or partners. For more than 15 years, thousands of companies worldwide have trusted Yext to create seamless customer experiences at scale across search engines, websites, mobile apps, and hundreds of other digital touchpoints. Learn more at yext.com.

Related News

AI Tech, General AI, Software

DataRobot Announces New Generative AI Offering

Businesswire | August 11, 2023

DataRobot, the leader in Value-Driven AI, today announced a new generative AI offering, including platform capabilities and applied AI services, to accelerate the path from concept to value with generative AI. This offering uniquely brings both generative and predictive AI capabilities together in the DataRobot AI Platform, delivering an open and end-to-end solution for you to experiment, build, deploy, monitor and moderate enterprise-grade AI applications and assistants, and drive impact for your business. “We’ve talked to hundreds of customers looking to adopt generative AI who have concerns about existing tools on the market, including security and reputational risks, vendor lock-in and mounting technical debt from piecemeal solutions,” said Jay Schuren, Chief Customer Officer, DataRobot. “With over a decade at the forefront of AI innovation, we understand what it takes to deliver AI successfully and safely. Our new offering gives your teams everything they need to experiment quickly, deploy in production, monitor to ensure quality and ultimately get value from your generative AI projects.” The new offering builds on the DataRobot AI Platform to accelerate your generative AI initiatives by unifying best-in-class components and providing critical capabilities in an open and multi-cloud environment, including: - Generative AI Models Extended for the Enterprise: Seamlessly integrate large language models (LLMs), vector databases and prompting strategies with your enterprise data directly within DataRobot hosted notebooks. With a code-first experience and pre-built assistant recipes, you can rapidly develop customized solutions that meet your unique needs. - Enterprise-Grade Generative AI Observability: Gain confidence operating all of your generative and predictive AI assets with advanced monitoring, management and governance. Measure what matters, from operational and data drift metrics to generative AI-specific metrics like toxicity and truthfulness, and ensure applications stay “on-topic” using use case-specific guardrails. - Easy-to-Build Generative AI Applications: Quickly prototype, build and deploy end-to-end applications and assistants to deliver a complete generative AI powered experience to business stakeholders and end users with just a few lines of code, using a DataRobot-hosted Streamlit application sandbox. DataRobot is also introducing new generative AI services focused on end-to-end implementation of custom use cases as well as dedicated programming to upskill your workforce, designed and delivered by our applied AI experts: - Generative AI Training & Enablement for executives and practitioners, enabling leaders to quickly establish the level of generative AI proficiency that is necessary to remain competitive in today’s market. - Generative AI Ideation & Roadmapping Workshops for teams to go from use case ideation to implementation by systematically identifying and prioritizing high-value opportunities, and aligning leaders, data teams and stakeholders. - Generative AI Trust & Compliance Framework to support responsible generative AI governance processes and better prepare your business to meet existing guidelines and anticipate pending regulations. DataRobot supports customers from all industries to solve real-world business problems with generative and predictive AI. "The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards," said Rosalia Tungaraza, AVP, Artificial Intelligence, Baptist Health South Florida. “We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence.” Connecting Ford Motor Company with over 3,800 Ford and Lincoln dealerships across the U.S. and Canada, FordDirect leverages the DataRobot AI Platform to better engage and anticipate customer needs. “DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively,” said Tom Thomas, Vice President of Data Strategy, Analytics & Business Intelligence, FordDirect. “We are on the cusp of a major transition. Global organizations are excited about the possibilities to transform their businesses with generative AI while at the same time faced with risks ranging from hallucinations and toxicity, to governance and bias,” said Ritu Jyoti, Group Vice President, Worldwide Artificial Intelligence and Automation Research Practice Global AI Research Lead at IDC. “That’s why AI platforms like DataRobot are critical in unlocking business value with generative AI and predictive AI alongside robust monitoring, governance, and a broad ecosystem. They create a competitive edge for enterprises.” About DataRobot DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI. Learn more at datarobot.com and follow us on LinkedIn and X (@DataRobot).

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Software

LTI Strengthens Strategic Collaboration with Microsoft

LTI | August 03, 2022

Larsen & Toubro Infotech , a global technology consulting and digital solutions company, has announced the expansion of its collaboration with Microsoft to focus on developing high-value cloud solutions for enterprises. As a part of this multi-year collaboration, LTI has launched a dedicated Microsoft business unit that develops and offers end-to-end digital transformation solutions. Through this association, LTI will also train 12,000 professionals from its existing workforce on various Microsoft technologies by 2024. The main objective of this effort is to enable skill development of LTI employees that are a part of the Microsoft unit and enhance their competencies across technologies like cloud, data, IoT and security. “LTI has a long-standing relationship with Microsoft as a strategic partner, service provider, and customer. Our reaffirmed partnership with Microsoft will enable us to innovate and offer 170+ distinct services to our joint customers. Additionally, we will also focus on the training and upskilling of our talent pool that is a part of the dedicated Microsoft business unit, to empower them to meet changing business and market requirements.” Nachiket Deshpande, Chief Operating Officer, LTI Siddharth Bohra, Chief Business Officer & Head of Cloud Business Unit, LTI, said, “Enterprises across the globe are increasingly embracing cloud, and LTI has made impressive strides in developing a multi-dimensional capability on Azure to meet this demand. As part of this collaboration, LTI and Microsoft will jointly innovate, develop, and sell solutions to assist enterprises in acceleration of their digital transformation journeys.” Julie Sanford, Vice President, Partner GTM, Programs & Experiences, Microsoft, said, “Through their new Microsoft Business Unit, LTI will be able to help customers implement cloud strategies and drive business transformation across industries and geographies. We look forward to working with LTI as they build new capabilities and deliver innovative solutions on the Microsoft Cloud.” Through this association, LTI will attain the Solution Partner designation across all the Microsoft Solution Areas. LTI also has the following advanced specializations on Azure: - SAP on Azure: Validating the capability of implementing SAP solutions on Azure. - Analytics on Azure: Demonstrating the expertise in delivering analytics solutions in Microsoft Azure. - Windows Server and SQL Server: Expertise in migrating production workloads to Microsoft Azure. - Modernization of Web Applications: Validating expertise in migrating and deploying production web application workloads, applying DevOps, and managing app services in Microsoft Azure. - Kubernetes on Azure: validating capabilities in deploying and managing production workloads in the cloud using containers and managing hosted Kubernetes environments in Azure. - Low Code Application Development: Expertise in building solutions using Power Apps. - The Data Warehouse Migration to Microsoft Azure: Validating expertise in analyzing existing workloads and performing ETL operations to migrate data to cloud-based data warehouses. - Cloud Security: Validates a means for your company to showcase capabilities to implement comprehensive security solutions across Azure, hybrid, and multi-cloud environments. - Threat Protection: provides a means for your company to showcase proven, verifiable expertise in deploying Microsoft Threat Protection or Microsoft Cloud App Security workloads. - AI and Machine Learning in Microsoft Azure: Validates capabilities on enabling customer adoption of Al and implementing Azure solutions for Al-powered apps. LTI is an Azure Expert MSP Partner which demonstrates deep knowledge, extensive experience, and proven success in implementing specialized workloads such as Migration and Modernization, SAP on Azure, Data Analytics, Internet of things (IoT), Security, and Microsoft Dynamics 365. About LTI LTI is a global technology consulting and digital solutions Company helping more than 495 clients succeed in a converging world. With operations in 33 countries, we go the extra mile for our clients and accelerate their digital transformation journeys. Founded in 1997 as a subsidiary of Larsen & Toubro Limited, our unique heritage gives us unrivalled real-world expertise to solve the most complex challenges of enterprises across all industries. Each day, our team of more than 46,000 LTItes enable our clients to improve the effectiveness of their business and technology operations and deliver value to their customers, employees, and shareholders.

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ISB, Microsoft to set up artificial intelligence digital Lab

The Financial Express | August 28, 2019

Artificial Intelligence (AI) spans every major industry and is likely to dramatically transform industries. With better algorithms and large amounts of data, AI has the potential to perhaps outperform human decision-making. Performance differentials between firms on account of their proficiency with AI will also likely intensify over the coming years and will shake up most industries. “AI is a gamechanger to drive new business models and transform today’s businesses and workplaces,” remarks Anant Maheshwari, president, Microsoft India. Taking a cue, the Indian School of Business (ISB) and Microsoft India have inked a new partnership to take forward their shared vision for an AI-empowered India. Through the creation of the AI Digital Lab, the two organisations will collaborate in research which will use AI and Machine Learning (ML) to study issues that are relevant for business and public policy. In addition, the partnership will also introduce a new executive programme titled “Leading Business Transformation in the Age of AI” in October 2019 which will equip business leaders with tools and strategies to transform their respective organisations to AI-driven organisations.

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AI Tech, General AI, Software

DataRobot Announces New Generative AI Offering

Businesswire | August 11, 2023

DataRobot, the leader in Value-Driven AI, today announced a new generative AI offering, including platform capabilities and applied AI services, to accelerate the path from concept to value with generative AI. This offering uniquely brings both generative and predictive AI capabilities together in the DataRobot AI Platform, delivering an open and end-to-end solution for you to experiment, build, deploy, monitor and moderate enterprise-grade AI applications and assistants, and drive impact for your business. “We’ve talked to hundreds of customers looking to adopt generative AI who have concerns about existing tools on the market, including security and reputational risks, vendor lock-in and mounting technical debt from piecemeal solutions,” said Jay Schuren, Chief Customer Officer, DataRobot. “With over a decade at the forefront of AI innovation, we understand what it takes to deliver AI successfully and safely. Our new offering gives your teams everything they need to experiment quickly, deploy in production, monitor to ensure quality and ultimately get value from your generative AI projects.” The new offering builds on the DataRobot AI Platform to accelerate your generative AI initiatives by unifying best-in-class components and providing critical capabilities in an open and multi-cloud environment, including: - Generative AI Models Extended for the Enterprise: Seamlessly integrate large language models (LLMs), vector databases and prompting strategies with your enterprise data directly within DataRobot hosted notebooks. With a code-first experience and pre-built assistant recipes, you can rapidly develop customized solutions that meet your unique needs. - Enterprise-Grade Generative AI Observability: Gain confidence operating all of your generative and predictive AI assets with advanced monitoring, management and governance. Measure what matters, from operational and data drift metrics to generative AI-specific metrics like toxicity and truthfulness, and ensure applications stay “on-topic” using use case-specific guardrails. - Easy-to-Build Generative AI Applications: Quickly prototype, build and deploy end-to-end applications and assistants to deliver a complete generative AI powered experience to business stakeholders and end users with just a few lines of code, using a DataRobot-hosted Streamlit application sandbox. DataRobot is also introducing new generative AI services focused on end-to-end implementation of custom use cases as well as dedicated programming to upskill your workforce, designed and delivered by our applied AI experts: - Generative AI Training & Enablement for executives and practitioners, enabling leaders to quickly establish the level of generative AI proficiency that is necessary to remain competitive in today’s market. - Generative AI Ideation & Roadmapping Workshops for teams to go from use case ideation to implementation by systematically identifying and prioritizing high-value opportunities, and aligning leaders, data teams and stakeholders. - Generative AI Trust & Compliance Framework to support responsible generative AI governance processes and better prepare your business to meet existing guidelines and anticipate pending regulations. DataRobot supports customers from all industries to solve real-world business problems with generative and predictive AI. "The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards," said Rosalia Tungaraza, AVP, Artificial Intelligence, Baptist Health South Florida. “We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence.” Connecting Ford Motor Company with over 3,800 Ford and Lincoln dealerships across the U.S. and Canada, FordDirect leverages the DataRobot AI Platform to better engage and anticipate customer needs. “DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively,” said Tom Thomas, Vice President of Data Strategy, Analytics & Business Intelligence, FordDirect. “We are on the cusp of a major transition. Global organizations are excited about the possibilities to transform their businesses with generative AI while at the same time faced with risks ranging from hallucinations and toxicity, to governance and bias,” said Ritu Jyoti, Group Vice President, Worldwide Artificial Intelligence and Automation Research Practice Global AI Research Lead at IDC. “That’s why AI platforms like DataRobot are critical in unlocking business value with generative AI and predictive AI alongside robust monitoring, governance, and a broad ecosystem. They create a competitive edge for enterprises.” About DataRobot DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI. Learn more at datarobot.com and follow us on LinkedIn and X (@DataRobot).

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Software

LTI Strengthens Strategic Collaboration with Microsoft

LTI | August 03, 2022

Larsen & Toubro Infotech , a global technology consulting and digital solutions company, has announced the expansion of its collaboration with Microsoft to focus on developing high-value cloud solutions for enterprises. As a part of this multi-year collaboration, LTI has launched a dedicated Microsoft business unit that develops and offers end-to-end digital transformation solutions. Through this association, LTI will also train 12,000 professionals from its existing workforce on various Microsoft technologies by 2024. The main objective of this effort is to enable skill development of LTI employees that are a part of the Microsoft unit and enhance their competencies across technologies like cloud, data, IoT and security. “LTI has a long-standing relationship with Microsoft as a strategic partner, service provider, and customer. Our reaffirmed partnership with Microsoft will enable us to innovate and offer 170+ distinct services to our joint customers. Additionally, we will also focus on the training and upskilling of our talent pool that is a part of the dedicated Microsoft business unit, to empower them to meet changing business and market requirements.” Nachiket Deshpande, Chief Operating Officer, LTI Siddharth Bohra, Chief Business Officer & Head of Cloud Business Unit, LTI, said, “Enterprises across the globe are increasingly embracing cloud, and LTI has made impressive strides in developing a multi-dimensional capability on Azure to meet this demand. As part of this collaboration, LTI and Microsoft will jointly innovate, develop, and sell solutions to assist enterprises in acceleration of their digital transformation journeys.” Julie Sanford, Vice President, Partner GTM, Programs & Experiences, Microsoft, said, “Through their new Microsoft Business Unit, LTI will be able to help customers implement cloud strategies and drive business transformation across industries and geographies. We look forward to working with LTI as they build new capabilities and deliver innovative solutions on the Microsoft Cloud.” Through this association, LTI will attain the Solution Partner designation across all the Microsoft Solution Areas. LTI also has the following advanced specializations on Azure: - SAP on Azure: Validating the capability of implementing SAP solutions on Azure. - Analytics on Azure: Demonstrating the expertise in delivering analytics solutions in Microsoft Azure. - Windows Server and SQL Server: Expertise in migrating production workloads to Microsoft Azure. - Modernization of Web Applications: Validating expertise in migrating and deploying production web application workloads, applying DevOps, and managing app services in Microsoft Azure. - Kubernetes on Azure: validating capabilities in deploying and managing production workloads in the cloud using containers and managing hosted Kubernetes environments in Azure. - Low Code Application Development: Expertise in building solutions using Power Apps. - The Data Warehouse Migration to Microsoft Azure: Validating expertise in analyzing existing workloads and performing ETL operations to migrate data to cloud-based data warehouses. - Cloud Security: Validates a means for your company to showcase capabilities to implement comprehensive security solutions across Azure, hybrid, and multi-cloud environments. - Threat Protection: provides a means for your company to showcase proven, verifiable expertise in deploying Microsoft Threat Protection or Microsoft Cloud App Security workloads. - AI and Machine Learning in Microsoft Azure: Validates capabilities on enabling customer adoption of Al and implementing Azure solutions for Al-powered apps. LTI is an Azure Expert MSP Partner which demonstrates deep knowledge, extensive experience, and proven success in implementing specialized workloads such as Migration and Modernization, SAP on Azure, Data Analytics, Internet of things (IoT), Security, and Microsoft Dynamics 365. About LTI LTI is a global technology consulting and digital solutions Company helping more than 495 clients succeed in a converging world. With operations in 33 countries, we go the extra mile for our clients and accelerate their digital transformation journeys. Founded in 1997 as a subsidiary of Larsen & Toubro Limited, our unique heritage gives us unrivalled real-world expertise to solve the most complex challenges of enterprises across all industries. Each day, our team of more than 46,000 LTItes enable our clients to improve the effectiveness of their business and technology operations and deliver value to their customers, employees, and shareholders.

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ISB, Microsoft to set up artificial intelligence digital Lab

The Financial Express | August 28, 2019

Artificial Intelligence (AI) spans every major industry and is likely to dramatically transform industries. With better algorithms and large amounts of data, AI has the potential to perhaps outperform human decision-making. Performance differentials between firms on account of their proficiency with AI will also likely intensify over the coming years and will shake up most industries. “AI is a gamechanger to drive new business models and transform today’s businesses and workplaces,” remarks Anant Maheshwari, president, Microsoft India. Taking a cue, the Indian School of Business (ISB) and Microsoft India have inked a new partnership to take forward their shared vision for an AI-empowered India. Through the creation of the AI Digital Lab, the two organisations will collaborate in research which will use AI and Machine Learning (ML) to study issues that are relevant for business and public policy. In addition, the partnership will also introduce a new executive programme titled “Leading Business Transformation in the Age of AI” in October 2019 which will equip business leaders with tools and strategies to transform their respective organisations to AI-driven organisations.

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