Holland & Barrett outsources data handling to ITC Infotech

March 19, 2019 | 88 views

Health food business NBTY Europe has handed over the management of customer data to IT services firm ITC Infotech in an effort to use the information to support business plans. The owner of retailer Holland & Barrett and manufacturer GNC-UK had already embarked on a major digital transformation in the face of increased competition. As part of this it realised it had to better understand its customers to support in-store and online modernisation.

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The Revolutionary Power of 5G in Automation and Industry Digitization

Article | July 14, 2022

Fifth-generation (5G) mobile phone networks that can carry data up to 50 times faster than major carriers' current phone networks are now rolling out. But 5G promises to do more than just speed up our phone service and download times. The mobile industry's fifth-generation (5G) networks are being developed and are prepared for deployment. The expansion of IoT and other intelligent automation applications is being significantly fueled by the advancing 5G networks, which are becoming more widely accessible. For advancements in intelligent automation—the Internet of Things (IoT), Artificial Intelligence (AI), driverless cars, virtual reality, blockchain, and future innovations we haven't even considered yet—5 G's lightning-fast connectivity and low-latency are essential. The arrival of 5G represents more than simply a generational shift for the tech sector as a whole. Contributions by 5G Networks For a number of reasons, the manufacturing sector is moving toward digitalization: to increase revenue by better servicing their customers; to increase demand; to outperform the competition; to reduce costs by boosting productivity and efficiency; and to minimize risk by promoting safety and security. The main requirements and obstacles in the digitization industry were recently recognized by a study. Millions of devices with ultra-reliable, robust, immediate connectivity. Gadgets, which are expensive with a long battery life. Asset tracking along the constantly shifting supply chains. Carrying out remote medical operations. Enhancing the purchasing experience with AR/VR. Implementing AI to improve operations across the board or in various departments. The mobile telecommunications requirements of the Internet of Things cannot be met by the current 4G and 4G LTE networks. Compared to current 4G LTE networking technologies, 5G can also offer a solution to the problem and the quickest network data rate with a relatively low cost and greater communication coverage. The 5G network's quick speeds will lead to new technical developments. The upcoming 5G technology will support hundreds of billions of connections, offer transmission speeds of 10 Gbps, and have an extremely low latency of 1 ms. Additionally, it makes rural areas' services more dependable, minimizing service disparities between rural and urban areas. Even though the 5G network is a development of the 4G and 4G LTE networks, it has a whole new network design and features like virtualization that provide more than impressively fast data speeds.

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AI TECH

AI's Impact on Improving Customer Experience

Article | July 20, 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.

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FUTURE TECH

The Evolution of Quantum Computing and What its Future Beholds

Article | July 26, 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.

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FUTURE TECH

Language Models: Emerging Types and Why They Matter

Article | July 7, 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.

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At Security Compass, we have extensive cross industry knowledge, technical prowess, and have developed the right expert tools to predict, plan and prevent a security breach. We guide your team in building a customized security blueprint based on your industry, software development lifecycle, and business needs to cost-effectively mitigate risks.

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Empower AI Launches AI Solution Set to Supercharge Digital Transformation Initiatives

Empower AI | October 03, 2022

Empower AI (formerly NCI Information Systems), a leading provider of artificial intelligence and other technologies to U.S. government agencies, today announced that it has launched a set of new AI solutions that will provide federal technology leaders with the power to swiftly transform existing programs into future-ready systems. The AI solution set, called Empower AI Develops, leverages natural language processing, machine learning, and hyperautomation capabilities to rapidly analyze and define the current state of an agency’s IT systems, including existing or future computer code. It then provides precise guidance on the best path forward to accelerate accurate and secure development with AI in an immersive experience that augments and enhances human developers. As a result, Empower AI Develops accelerates rapid modernization while minimizing disruption and risk for federal agencies. “One of the biggest concerns we hear from our federal customers is the volume of code, the lack of documentation, and the potential vulnerabilities in their IT systems,” said Paul Dillahay, president and CEO of Empower AI. “Every agency has a challenge, to some degree, with legacy code built by many generations of developers and methodologies. Over time, security methods that were used in that code become vulnerable or provide other risks, which can lead to poor performance or even larger concerns.” To address this challenge and others facing federal IT leaders, Dillahay said Empower AI technologists wanted to create a solution that enabled federal leaders to quickly understand the complete picture of their assets and vulnerabilities in their own environment, and then use AI to help them analyze and develop new code in a fraction of the time and cost it would take human developers, while decreasing the risk introduced by traditional modernization efforts. “This set of solutions will help federal technology leaders accelerate their modernization initiatives by shortening software development cycles to minimize disruption and risk,” Dillahay said. The Empower AI Develops product suite includes: Code Analyzer: Uses natural language processing (NLP), machine learning, and a set of proprietary algorithms to perform a comprehensive analysis and report on any existing code. Code Programmer: Reviews and ingests any existing codebase using DevSecOps methodology. Once the codebase has been evaluated and documented, the AI Code Programmer tools generate refactored, object-oriented code and/or entirely new code from natural language function descriptions. Infrastructure Developer: Creates code with seamless integration into the continuous integration / continuous development pipeline, allowing for connections into help desk applications, as well as DevSecOps components and other CI/CD pipeline software while integrating approved static and variable security tools. Dillahay noted that additional solutions in the Empower AI Develops product suite are being tested now that will help federal leaders on other legacy code challenges, including code refactoring and story programming. All elements of the new product will help federal IT leaders elevate their mission-critical programs using proven AI technologies at scale. “In addition to helping agencies modernize their code and documentation quickly, these solutions will also help agencies realize gains from investments they’ve made in the cloud or other security enhancements,” Dillahay said. “We’re really looking forward to helping them advance their missions and performance in a cost-effective way.” For more information about Empower AI Develops, or to request a demonstration of how it works, visit www.empower.ai/develops. About Empower AI Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, VA, Empower AI leverages three decades of mission experience solving complex challenges in Health, Defense, and Civilian missions. Their proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, and how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive

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AI TECH

Dataiku Joins Deloitte US Data and AI Alliance Ecosystem

Dataiku | July 15, 2022

Dataiku, the platform for Everyday AI, today unveiled it has joined the Deloitte US Data and AI Alliance Ecosystem to help customers implement and scale AI and MLOps across their organizations. Deloitte’s alliance ecosystem includes relationships with more than 60 of the world’s leading companies focused on solving clients’ most complex challenges and enabling them to shape new markets and drive measurable value. Together, Deloitte and Dataiku help enterprises build reusable AI projects that deliver value at scale. Deloitte’s experience in automation, data transformation, integration with multiple complex technologies, optimizing performance, and enabling self-service platforms complement Dataiku’s enterprise-ready plug-and-play capabilities for data scientists and everyday business users alike, all on a single platform. “Dataiku’s alliance with Deloitte advances the mission of enabling Everyday AI. By combining our platform with Deloitte's AI transformation capabilities, our joint clients can accelerate the value they realize from their data investments across a broad set of industries and applications. Together, we are taking an important step forward in shaping the future of AI.” David Tharp, SVP Ecosystems and Alliances, Dataiku Deloitte and Dataiku are working jointly to help enterprises across industries deploy AI solutions at scale to thousands of users, improve efficiencies in ML pipelines, manage risk and governance, and enhance data quality. Common use cases include customer churn, recommendation engines, fraud detection, anomaly detection, predictive maintenance, planning and forecasting, deep learning, and data governance. In addition, Deloitte uses Dataiku internally for data science applications. “Deloitte has seen firsthand through our own implementations how Dataiku quickly delivers value to our joint enterprise clients,” said Frank Farrall, Principal, AI and Data Alliances Leader at Deloitte Consulting LLP. “With a strong track record helping enterprises realize the business benefits of data, AI, and MLOps, Dataiku is a strong fit for our data and AI ecosystem and will help us better serve clients on their path to a modern data environment.” About Dataiku Dataiku is the platform for Everyday AI that allows companies to leverage one central solution to design, deploy, govern, and manage AI and analytics applications. Since its founding in 2013, the company has been the leader in democratizing data and empowering organization-wide collaboration. Today, more than 450 companies worldwide use Dataiku to integrate and streamline their use of data, analytics, and AI, driving diverse use cases from fraud detection and customer churn prevention, to predictive maintenance and supply chain optimization.

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AI APPLICATIONS

CoreView Launches Business Operations in Australia, Helping Customers Get Microsoft 365 Under Control Worldwide

CoreView | July 11, 2022

CoreView, the global leader in Microsoft 365 Management, today announced the expansion of its business operations in Australia, aimed at strengthening the company’s partnerships with clients in the Asia-Pacific market and responding to increasing demand in the region. This announcement comes in conjunction with the hiring of Chris Lawley as Regional Manager — an expert in SaaS platforms and technology, currently based in Sydney. This expansion comes on the heels of a period of rapid growth for the company, as CoreView has grown by nearly 229 percent in the last 3 years — taking its mission to manage the chaos of Microsoft 365 to a variety of new partners and regions. In tandem with this growth, CoreView has continued to help customers better manage Microsoft 365 — including adding advanced capabilities for managing Microsoft Teams, Teams Voice, and hybrid environments. “I am beyond excited to help introduce and expand CoreView’s presence in Australia and the wider APAC region,” said Lawley. “There is such a clear need for a data- and insights-driven management solution like CoreView, particularly given how heavily regulated security and compliance are in this market. As such, I have no doubt that CoreView will provide a number of benefits to our current and future partners here, helping uplevel IT management in the Microsoft 365 space.” Already working with resellers in North America, Europe and the Middle East, CoreView also recently signed strategic deals with Data3 and rhipe — a Crayon Company — leaders in cloud solutions and technology in Asia-Pacific — with a healthy pipeline of additional relationships and deals lined up. As the premier Microsoft 365 management solution, CoreView’s goal is to empower partners with the data, insights, and actionable processes necessary to support operational improvements and enable real transformation for customers. About CoreView CoreView stops the chaos and gets Microsoft 365 under control. The CoreView Microsoft 365 Management Platform helps IT teams get the full value from Microsoft 365, gain full oversight of their environment, and move at full speed. More than 10 million users and the world’s largest organizations rely on CoreView to craft perfect privileges, eliminate wasted licenses, drive adoption, and automate repetitive tasks. A Microsoft Gold Partner, CoreView is Co-Sell Prioritized and available on the Azure Marketplace.

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AI TECH

Empower AI Launches AI Solution Set to Supercharge Digital Transformation Initiatives

Empower AI | October 03, 2022

Empower AI (formerly NCI Information Systems), a leading provider of artificial intelligence and other technologies to U.S. government agencies, today announced that it has launched a set of new AI solutions that will provide federal technology leaders with the power to swiftly transform existing programs into future-ready systems. The AI solution set, called Empower AI Develops, leverages natural language processing, machine learning, and hyperautomation capabilities to rapidly analyze and define the current state of an agency’s IT systems, including existing or future computer code. It then provides precise guidance on the best path forward to accelerate accurate and secure development with AI in an immersive experience that augments and enhances human developers. As a result, Empower AI Develops accelerates rapid modernization while minimizing disruption and risk for federal agencies. “One of the biggest concerns we hear from our federal customers is the volume of code, the lack of documentation, and the potential vulnerabilities in their IT systems,” said Paul Dillahay, president and CEO of Empower AI. “Every agency has a challenge, to some degree, with legacy code built by many generations of developers and methodologies. Over time, security methods that were used in that code become vulnerable or provide other risks, which can lead to poor performance or even larger concerns.” To address this challenge and others facing federal IT leaders, Dillahay said Empower AI technologists wanted to create a solution that enabled federal leaders to quickly understand the complete picture of their assets and vulnerabilities in their own environment, and then use AI to help them analyze and develop new code in a fraction of the time and cost it would take human developers, while decreasing the risk introduced by traditional modernization efforts. “This set of solutions will help federal technology leaders accelerate their modernization initiatives by shortening software development cycles to minimize disruption and risk,” Dillahay said. The Empower AI Develops product suite includes: Code Analyzer: Uses natural language processing (NLP), machine learning, and a set of proprietary algorithms to perform a comprehensive analysis and report on any existing code. Code Programmer: Reviews and ingests any existing codebase using DevSecOps methodology. Once the codebase has been evaluated and documented, the AI Code Programmer tools generate refactored, object-oriented code and/or entirely new code from natural language function descriptions. Infrastructure Developer: Creates code with seamless integration into the continuous integration / continuous development pipeline, allowing for connections into help desk applications, as well as DevSecOps components and other CI/CD pipeline software while integrating approved static and variable security tools. Dillahay noted that additional solutions in the Empower AI Develops product suite are being tested now that will help federal leaders on other legacy code challenges, including code refactoring and story programming. All elements of the new product will help federal IT leaders elevate their mission-critical programs using proven AI technologies at scale. “In addition to helping agencies modernize their code and documentation quickly, these solutions will also help agencies realize gains from investments they’ve made in the cloud or other security enhancements,” Dillahay said. “We’re really looking forward to helping them advance their missions and performance in a cost-effective way.” For more information about Empower AI Develops, or to request a demonstration of how it works, visit www.empower.ai/develops. About Empower AI Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, VA, Empower AI leverages three decades of mission experience solving complex challenges in Health, Defense, and Civilian missions. Their proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, and how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive

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AI TECH

Dataiku Joins Deloitte US Data and AI Alliance Ecosystem

Dataiku | July 15, 2022

Dataiku, the platform for Everyday AI, today unveiled it has joined the Deloitte US Data and AI Alliance Ecosystem to help customers implement and scale AI and MLOps across their organizations. Deloitte’s alliance ecosystem includes relationships with more than 60 of the world’s leading companies focused on solving clients’ most complex challenges and enabling them to shape new markets and drive measurable value. Together, Deloitte and Dataiku help enterprises build reusable AI projects that deliver value at scale. Deloitte’s experience in automation, data transformation, integration with multiple complex technologies, optimizing performance, and enabling self-service platforms complement Dataiku’s enterprise-ready plug-and-play capabilities for data scientists and everyday business users alike, all on a single platform. “Dataiku’s alliance with Deloitte advances the mission of enabling Everyday AI. By combining our platform with Deloitte's AI transformation capabilities, our joint clients can accelerate the value they realize from their data investments across a broad set of industries and applications. Together, we are taking an important step forward in shaping the future of AI.” David Tharp, SVP Ecosystems and Alliances, Dataiku Deloitte and Dataiku are working jointly to help enterprises across industries deploy AI solutions at scale to thousands of users, improve efficiencies in ML pipelines, manage risk and governance, and enhance data quality. Common use cases include customer churn, recommendation engines, fraud detection, anomaly detection, predictive maintenance, planning and forecasting, deep learning, and data governance. In addition, Deloitte uses Dataiku internally for data science applications. “Deloitte has seen firsthand through our own implementations how Dataiku quickly delivers value to our joint enterprise clients,” said Frank Farrall, Principal, AI and Data Alliances Leader at Deloitte Consulting LLP. “With a strong track record helping enterprises realize the business benefits of data, AI, and MLOps, Dataiku is a strong fit for our data and AI ecosystem and will help us better serve clients on their path to a modern data environment.” About Dataiku Dataiku is the platform for Everyday AI that allows companies to leverage one central solution to design, deploy, govern, and manage AI and analytics applications. Since its founding in 2013, the company has been the leader in democratizing data and empowering organization-wide collaboration. Today, more than 450 companies worldwide use Dataiku to integrate and streamline their use of data, analytics, and AI, driving diverse use cases from fraud detection and customer churn prevention, to predictive maintenance and supply chain optimization.

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AI APPLICATIONS

CoreView Launches Business Operations in Australia, Helping Customers Get Microsoft 365 Under Control Worldwide

CoreView | July 11, 2022

CoreView, the global leader in Microsoft 365 Management, today announced the expansion of its business operations in Australia, aimed at strengthening the company’s partnerships with clients in the Asia-Pacific market and responding to increasing demand in the region. This announcement comes in conjunction with the hiring of Chris Lawley as Regional Manager — an expert in SaaS platforms and technology, currently based in Sydney. This expansion comes on the heels of a period of rapid growth for the company, as CoreView has grown by nearly 229 percent in the last 3 years — taking its mission to manage the chaos of Microsoft 365 to a variety of new partners and regions. In tandem with this growth, CoreView has continued to help customers better manage Microsoft 365 — including adding advanced capabilities for managing Microsoft Teams, Teams Voice, and hybrid environments. “I am beyond excited to help introduce and expand CoreView’s presence in Australia and the wider APAC region,” said Lawley. “There is such a clear need for a data- and insights-driven management solution like CoreView, particularly given how heavily regulated security and compliance are in this market. As such, I have no doubt that CoreView will provide a number of benefits to our current and future partners here, helping uplevel IT management in the Microsoft 365 space.” Already working with resellers in North America, Europe and the Middle East, CoreView also recently signed strategic deals with Data3 and rhipe — a Crayon Company — leaders in cloud solutions and technology in Asia-Pacific — with a healthy pipeline of additional relationships and deals lined up. As the premier Microsoft 365 management solution, CoreView’s goal is to empower partners with the data, insights, and actionable processes necessary to support operational improvements and enable real transformation for customers. About CoreView CoreView stops the chaos and gets Microsoft 365 under control. The CoreView Microsoft 365 Management Platform helps IT teams get the full value from Microsoft 365, gain full oversight of their environment, and move at full speed. More than 10 million users and the world’s largest organizations rely on CoreView to craft perfect privileges, eliminate wasted licenses, drive adoption, and automate repetitive tasks. A Microsoft Gold Partner, CoreView is Co-Sell Prioritized and available on the Azure Marketplace.

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