2019 is the Year When Hybrid Cloud Becomes the New Normal for Government

January 24, 2019 | 57 views

2019 will be the year of the hybrid cloud, claim federal executives. As offices like FedRAMP, OMB, and GSA continue to promote cloud computing as the path to IT modernization, hybrid cloud can help alleviate the regulatory compliance and security requirements that agencies must adhere to. With a hybrid strategy, agencies can maintain legacy applications and an on-premise infrastructure, while leveraging the public cloud for extra storage or compute power as needed, or when they need to introduce new services.

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SOFTWARE

AI's Impact on Improving Customer Experience

Article | July 13, 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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AI TECH

The Evolution of Quantum Computing and What its Future Beholds

Article | July 20, 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 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.

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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.

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Spotlight

ATQ Information Technology Services Pvt. Ltd.

When you choose ATQ Information Technology Services (ATQITS) as your IT services and support, business, consulting and solutions partner, you will discover what so many others enterprises have already discovered—the power of bird in hand.

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Dell Software Federal Group Names DLT Solutions Partner of the Year

DLT Solutions | January 07, 2016

DLT Solutions (DLT), a leading public sector technology company, has been named ‘2015 Partner of the Year’ by Dell Software Federal Group. The award recognizes DLT’s overall dedication to and annual revenues delivered for Dell Software’s federal business.“We are honored to receive this award from Dell Software in recognition of our joint success in the federal market,” explained Brian Strosser, DLT Chief Operating Officer. “Our relationship with Dell Software goes back more than 15 years. With DLT’s advanced support and technical services - combined with our expertise in providing a streamlined federal procurement process, with Dell Software solutions we help federal customers reduce complexity and risk to unlock the power of IT.”DLT is a Premier Partner under Dell’s PartnerDirect Program. The inaugural awards honor Dell Software partners for delivering exemplary solutions for their customers during the past year.

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DLT Solutions Named Veritas Americas Partner of the Year

DLT Solutions | January 19, 2016

DLT Solutions (DLT), a leading public sector technology company, was named Veritas Americas Partner of the Year at Veritas Partner Link, Veritas’ inaugural channel conference. Veritas Technologies LLC enables organizations to harness the power of their information, with solutions designed to serve the world’s largest and most complex heterogeneous environments.“We have a great partnership with Veritas, and together we’ve been able to drive accelerated sales growth,” said Brian Strosser, DLT chief operating officer. “DLT aligns with the most innovative partners who best address today’s public sector technology requirements, and we are very proud to be recognized with this award from Veritas.”

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DLT Solutions Certified as Amazon Web Services Managed Service Provider

DLT Solutions | January 28, 2016

DLT Solutions (DLT), a leading public sector technology company, announced today that the company is now an approved Amazon Web Services (AWS) Managed Service Provider (MSP). Through the agreement, DLT will provide public sector customers with technical and business support for AWS Cloud Services. To attain this certification, DLT underwent a third-party audit evaluation of the Company’s ability to deliver value to customers through the complete cloud infrastructure and application migration lifecycles.“Achieving this designation underscores our commitment to providing government, education and non-profit customers with the latest cloud innovations and technical solutions,” explained Brian Strosser, DLT chief operating officer. “As an AWS MSP, DLT will be able to deliver and support our public sector customers with the entire lifecycle of services for AWS cloud. From design and implementation, to management and support, we are proud to offer a unique ‘train-mentor-deliver’ approach that guarantees rapid customer adoption and maximum self-efficiency.

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Dell Software Federal Group Names DLT Solutions Partner of the Year

DLT Solutions | January 07, 2016

DLT Solutions (DLT), a leading public sector technology company, has been named ‘2015 Partner of the Year’ by Dell Software Federal Group. The award recognizes DLT’s overall dedication to and annual revenues delivered for Dell Software’s federal business.“We are honored to receive this award from Dell Software in recognition of our joint success in the federal market,” explained Brian Strosser, DLT Chief Operating Officer. “Our relationship with Dell Software goes back more than 15 years. With DLT’s advanced support and technical services - combined with our expertise in providing a streamlined federal procurement process, with Dell Software solutions we help federal customers reduce complexity and risk to unlock the power of IT.”DLT is a Premier Partner under Dell’s PartnerDirect Program. The inaugural awards honor Dell Software partners for delivering exemplary solutions for their customers during the past year.

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DLT Solutions Named Veritas Americas Partner of the Year

DLT Solutions | January 19, 2016

DLT Solutions (DLT), a leading public sector technology company, was named Veritas Americas Partner of the Year at Veritas Partner Link, Veritas’ inaugural channel conference. Veritas Technologies LLC enables organizations to harness the power of their information, with solutions designed to serve the world’s largest and most complex heterogeneous environments.“We have a great partnership with Veritas, and together we’ve been able to drive accelerated sales growth,” said Brian Strosser, DLT chief operating officer. “DLT aligns with the most innovative partners who best address today’s public sector technology requirements, and we are very proud to be recognized with this award from Veritas.”

Read More

DLT Solutions Certified as Amazon Web Services Managed Service Provider

DLT Solutions | January 28, 2016

DLT Solutions (DLT), a leading public sector technology company, announced today that the company is now an approved Amazon Web Services (AWS) Managed Service Provider (MSP). Through the agreement, DLT will provide public sector customers with technical and business support for AWS Cloud Services. To attain this certification, DLT underwent a third-party audit evaluation of the Company’s ability to deliver value to customers through the complete cloud infrastructure and application migration lifecycles.“Achieving this designation underscores our commitment to providing government, education and non-profit customers with the latest cloud innovations and technical solutions,” explained Brian Strosser, DLT chief operating officer. “As an AWS MSP, DLT will be able to deliver and support our public sector customers with the entire lifecycle of services for AWS cloud. From design and implementation, to management and support, we are proud to offer a unique ‘train-mentor-deliver’ approach that guarantees rapid customer adoption and maximum self-efficiency.

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