Spark vs Hadoop: Which Big Data Framework Will Elevate Your Business?

September 23, 2019 | 121 views

With modern businesses relying upon heap of data to better understand their consumers and market, the technologies like Big Data are gaining a huge momentum. Big Data, just like AI has not just landed into the list of top tech trends for 2020, but is expected to be embraced by both startups and Fortune 500 companies for enjoying exponential business growth and ensure higher customer loyalty. A clear indication of which is that the Big Data market is predicted to hit $103B by 2027.

Spotlight

Sourcebits, Inc.

Since 2006, Sourcebits has been creating amazing apps for some of the world’s most innovative brands. Our 150+ team members include industry experts in UI/UX design, mobile app and web development, cloud computing and marketing strategy. An Apple Design Award Winner heads our Innovation team. Our work has been called “achingly beautiful” by one of the world’s largest tech publications, and millions of people have downloaded and loved the apps we’ve created. We're even a "Cool Vendor" according to Gartner - but that's according to them. It's really not cool to call ourselves cool.

OTHER ARTICLES
AI TECH

AI's Impact on Improving Customer Experience

Article | July 11, 2022

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

Read More
SOFTWARE

The Evolution of Quantum Computing and What its Future Beholds

Article | August 2, 2022

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

Read More
SOFTWARE

Language Models: Emerging Types and Why They Matter

Article | July 14, 2022

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

Read More
SOFTWARE

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

Article | July 5, 2022

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

Read More

Spotlight

Sourcebits, Inc.

Since 2006, Sourcebits has been creating amazing apps for some of the world’s most innovative brands. Our 150+ team members include industry experts in UI/UX design, mobile app and web development, cloud computing and marketing strategy. An Apple Design Award Winner heads our Innovation team. Our work has been called “achingly beautiful” by one of the world’s largest tech publications, and millions of people have downloaded and loved the apps we’ve created. We're even a "Cool Vendor" according to Gartner - but that's according to them. It's really not cool to call ourselves cool.

Related News

AI TECH,GENERAL AI

DataRobot Announces Launch of Dedicated Managed AI Cloud

DataRobot | September 29, 2022

Today, DataRobot announced the public availability of DataRobot Dedicated Managed AI Cloud, a dedicated hosted version of AI Cloud managed by DataRobot experts. Dedicated Managed AI Cloud provides the latest DataRobot capabilities to support critical AI and machine learning projects with the advantage of public cloud services, reducing cost and time-to-value in deploying, upgrading and managing the AI infrastructure. Today’s organizations rely on enterprise AI/ML platforms to deliver critical business initiatives. Organizations may prefer to outsource software platform deployment, configuration as well as ongoing management and maintenance to accommodate staffing constraints. “According to a recent Omdia study of more than 400 global AI practitioners, the AI marketplace has reached a critical point of acceleration with more than 25% of companies now looking to scale AI across multiple business units. This represents a dramatic rise from earlier research favoring departmental deployments. “It also foreshadows a substantial uptick in management costs, maintenance complexities, and exposure to risk for many companies electing to continue managing their own infrastructure.” Bradley Shimmin, Chief Analyst for AI platforms, analytics, and data management, Omdia DataRobot Dedicated Managed AI Cloud builds on a decade of experience driving business-critical AI/ML projects for hundreds of customers across on-premises, virtual private cloud, public cloud, and in DataRobot multi-tenant SaaS deployments. This new offering extends the full functionality of the AI Cloud to provide a dedicated managed instance of the DataRobot platform running for each customer in the cloud. The newly announced offering saves time and resources by freeing team members from managing or maintaining platform updates, while providing the security, isolation and data residency requirements for each customer. Dedicated Managed AI Cloud is deployed for each customer in a dedicated and separate VPC and operated, monitored, and maintained by DataRobot experts. “We’re excited for business leaders to realize the value of DataRobot with this managed offering, which brings together two distinct and significant advantages,” says Venky Veeraraghavan, SVP, Product, DataRobot. “Customers can focus on driving business results with DataRobot managing the operational elements, while still maintaining their specific security requirements and taking advantage of the cloud's evergreen deployment and new features.” About DataRobot DataRobot AI Cloud is the next generation of AI. DataRobot’s AI Cloud vision is to bring together all data types, all users, and all environments to deliver critical business insights for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50.

Read More

AI TECH,GENERAL AI,SOFTWARE

Reveal Unveils Streams – A New Macro Data Visualization Engine Powered by Reveal AI

Reveal | August 23, 2022

Reveal, the global provider of the leading AI-powered eDiscovery platform, announced today the introduction of Streams, an entirely new way to uncover insights from today’s complex web of digital communications data sources using the power of Reveal AI. After developing the most successful and widely-used data visualization tool globally, Reveal is raising the bar once again with Streams. Available early 2023, the macro-visualization engine maps massive amounts of data from traditional and alternative data sources to immediately uncover patterns saving time and resources, while exponentially amplifying insights. When Streams is used in concert with the full suite of Reveal AI-powered tools like the Cluster Wheel, Communication Map and AI Model Library, the results are unmatched in the industry. “New communication platforms and formats have exploded in variety and adoption, creating a wealth of potentially relevant ESI sources that current discovery platforms struggle to parse. “Streams solves this issue by bringing the varied threads together in a single, powerful interactive visual analytic tool that instantly becomes a force multiplier for case teams.” Wendell Jisa, founder & CEO of Reveal What sets Streams apart is its ability to weave communication threads into a single AI-powered visualization that understands patterns, concepts and anomalies across multiple new and traditional communications sources, including collaboration tools, messaging platforms, social media and beyond. Upon ingestion of communications data from today’s most widely used communications platforms, the visualization allows users to immediately layer insights into review, narrow or expand discovery and find actionable insights in minutes rather than weeks. The following is just a sample of the vast array of communication sources Streams supports: Slack Microsoft Teams Zoom WhatsApp Social Media platforms like LinkedIn, Facebook, Instagram, Snapchat, TikTok and more Email Text messaging Instant Messaging Documents of all forms (Word, DocuSign, Pages, etc.) “The Cluster Wheel revolutionized how legal professionals could connect and uncover key evidence from email and document data sets. Streams is the next chapter in rich visualization designed specifically for alternative data that helps uncover answers faster and more effectively than any other eDiscovery platform,” added Jisa. With the most adaptability and scalability of any tech solution on the market, the Reveal 11 AI platform is uniquely equipped to handle matters at any scale. Combined with the industry’s most advanced visualization tools on the market, clients can now quickly and more deeply understand their digital environments in ways traditional tools simply cannot replicate. Am Law 100 firms, Fortune 500 corporations, legal service providers, government agencies and financial institutions in more than 40 countries across five continents have already signed on to use the Reveal 11 platform. About Reveal Reveal provides world-class document review technology, underpinned by leading processing, visual analytics, and artificial intelligence, all seamlessly integrated into a single platform for eDiscovery and investigations. Our software combines technology and human guidance to transform structured and unstructured data into actionable insight. We help organizations, including law firms, corporations, government agencies, and intelligence services, uncover more useful information faster by providing a world-class user experience and patented AI technology that is embedded within every phase of the eDiscovery process.

Read More

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.

Read More

AI TECH,GENERAL AI

DataRobot Announces Launch of Dedicated Managed AI Cloud

DataRobot | September 29, 2022

Today, DataRobot announced the public availability of DataRobot Dedicated Managed AI Cloud, a dedicated hosted version of AI Cloud managed by DataRobot experts. Dedicated Managed AI Cloud provides the latest DataRobot capabilities to support critical AI and machine learning projects with the advantage of public cloud services, reducing cost and time-to-value in deploying, upgrading and managing the AI infrastructure. Today’s organizations rely on enterprise AI/ML platforms to deliver critical business initiatives. Organizations may prefer to outsource software platform deployment, configuration as well as ongoing management and maintenance to accommodate staffing constraints. “According to a recent Omdia study of more than 400 global AI practitioners, the AI marketplace has reached a critical point of acceleration with more than 25% of companies now looking to scale AI across multiple business units. This represents a dramatic rise from earlier research favoring departmental deployments. “It also foreshadows a substantial uptick in management costs, maintenance complexities, and exposure to risk for many companies electing to continue managing their own infrastructure.” Bradley Shimmin, Chief Analyst for AI platforms, analytics, and data management, Omdia DataRobot Dedicated Managed AI Cloud builds on a decade of experience driving business-critical AI/ML projects for hundreds of customers across on-premises, virtual private cloud, public cloud, and in DataRobot multi-tenant SaaS deployments. This new offering extends the full functionality of the AI Cloud to provide a dedicated managed instance of the DataRobot platform running for each customer in the cloud. The newly announced offering saves time and resources by freeing team members from managing or maintaining platform updates, while providing the security, isolation and data residency requirements for each customer. Dedicated Managed AI Cloud is deployed for each customer in a dedicated and separate VPC and operated, monitored, and maintained by DataRobot experts. “We’re excited for business leaders to realize the value of DataRobot with this managed offering, which brings together two distinct and significant advantages,” says Venky Veeraraghavan, SVP, Product, DataRobot. “Customers can focus on driving business results with DataRobot managing the operational elements, while still maintaining their specific security requirements and taking advantage of the cloud's evergreen deployment and new features.” About DataRobot DataRobot AI Cloud is the next generation of AI. DataRobot’s AI Cloud vision is to bring together all data types, all users, and all environments to deliver critical business insights for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50.

Read More

AI TECH,GENERAL AI,SOFTWARE

Reveal Unveils Streams – A New Macro Data Visualization Engine Powered by Reveal AI

Reveal | August 23, 2022

Reveal, the global provider of the leading AI-powered eDiscovery platform, announced today the introduction of Streams, an entirely new way to uncover insights from today’s complex web of digital communications data sources using the power of Reveal AI. After developing the most successful and widely-used data visualization tool globally, Reveal is raising the bar once again with Streams. Available early 2023, the macro-visualization engine maps massive amounts of data from traditional and alternative data sources to immediately uncover patterns saving time and resources, while exponentially amplifying insights. When Streams is used in concert with the full suite of Reveal AI-powered tools like the Cluster Wheel, Communication Map and AI Model Library, the results are unmatched in the industry. “New communication platforms and formats have exploded in variety and adoption, creating a wealth of potentially relevant ESI sources that current discovery platforms struggle to parse. “Streams solves this issue by bringing the varied threads together in a single, powerful interactive visual analytic tool that instantly becomes a force multiplier for case teams.” Wendell Jisa, founder & CEO of Reveal What sets Streams apart is its ability to weave communication threads into a single AI-powered visualization that understands patterns, concepts and anomalies across multiple new and traditional communications sources, including collaboration tools, messaging platforms, social media and beyond. Upon ingestion of communications data from today’s most widely used communications platforms, the visualization allows users to immediately layer insights into review, narrow or expand discovery and find actionable insights in minutes rather than weeks. The following is just a sample of the vast array of communication sources Streams supports: Slack Microsoft Teams Zoom WhatsApp Social Media platforms like LinkedIn, Facebook, Instagram, Snapchat, TikTok and more Email Text messaging Instant Messaging Documents of all forms (Word, DocuSign, Pages, etc.) “The Cluster Wheel revolutionized how legal professionals could connect and uncover key evidence from email and document data sets. Streams is the next chapter in rich visualization designed specifically for alternative data that helps uncover answers faster and more effectively than any other eDiscovery platform,” added Jisa. With the most adaptability and scalability of any tech solution on the market, the Reveal 11 AI platform is uniquely equipped to handle matters at any scale. Combined with the industry’s most advanced visualization tools on the market, clients can now quickly and more deeply understand their digital environments in ways traditional tools simply cannot replicate. Am Law 100 firms, Fortune 500 corporations, legal service providers, government agencies and financial institutions in more than 40 countries across five continents have already signed on to use the Reveal 11 platform. About Reveal Reveal provides world-class document review technology, underpinned by leading processing, visual analytics, and artificial intelligence, all seamlessly integrated into a single platform for eDiscovery and investigations. Our software combines technology and human guidance to transform structured and unstructured data into actionable insight. We help organizations, including law firms, corporations, government agencies, and intelligence services, uncover more useful information faster by providing a world-class user experience and patented AI technology that is embedded within every phase of the eDiscovery process.

Read More

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.

Read More

Events