Public, Private or Hybrid Cloud?

February 14, 2019 | 43 views

It’s fair to say that we have all witnessed and benefited from the rise of a plethora of disruptive IT Companies that have positively transformed the ways in which business is conducted. The nature of sudden explosive demand of today’s internet-based economics makes it a necessity for businesses to implement Cloud-based solutions from the get-go. Therefore aligning your internal business practices towards Cloud-Native concepts like DevOps and Microservices is so vital that it’s not even questioned in the highly competitive environment of Silicon Valley.

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RSA Security

More than 30,000 customers worldwide—including nearly half the global Fortune 500—rely on RSA’s business-driven security™ strategy for cyber threat detection and response, identity and access management, online fraud prevention, and governance, risk and compliance solutions.

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The Revolutionary Power of 5G in Automation and Industry Digitization

Article | July 8, 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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FUTURE TECH

AI's Impact on Improving Customer Experience

Article | July 26, 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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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.

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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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RSA Security

More than 30,000 customers worldwide—including nearly half the global Fortune 500—rely on RSA’s business-driven security™ strategy for cyber threat detection and response, identity and access management, online fraud prevention, and governance, risk and compliance solutions.

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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,AI APPLICATIONS,FUTURE TECH

Sapia and SmartRecruiters partnership brings world-first AI Smart Interviewer to integrations marketplace

Sapia.ai | September 30, 2022

Sapia.ai, creator of the world's first Smart Interviewer, has joined forces with SmartRecruiters, a global leader in enterprise recruitment software, to bring the first and only chat-based assessment tool to the SmartRecruiters integrations marketplace. Recruiters that use Sapia's Smart Interviewer via the SmartRecruiters Marketplace will now be able to dramatically accelerate time to hire and fulfill their diversity objectives. This new partnership will mean that Sapia's Smart Interviewer is the only fully automated apply-to-offer workflow on the market. Sapia CEO, Barb Hyman, said that chat-based assessment is a game-changer for any company that needs to hire the best talent, quickly and at scale. "This partnership is a win for companies needing to hire at F1 velocity, with an experience that is loved by all candidates – to date, 2 million across 47 countries," Hyman said. "Our Smart Interviewer is an assessment, interview, and feedback tool in one that also solves inclusion and diversity issues. It's blind, untimed, and gives every candidate feedback." Sapia's Smart Interviewer can be used for any role and any sector. Customers use the technology to assess candidates for values, scale culture, assess for competencies, or find the best people for key roles. The technology gives talent acquisition teams massive time savings and transforms employer brand. Sapia's innovative chat technology has recently garnered global recognition for its work in mitigating gender bias and for its ethical AI. Recently, the company also won an innovation award at Vivatech Paris, claiming the 'cutting edge technologies and employee experience' category . Sapia.ai has offices in Melbourne and Sydney, Australia, along with Chicago in the United States and London supporting the EMEA market, allowing support for companies across the globe. About Sapia.ai Sapia's mission is to build a fairer, more human world through ethical AI. Using the world's first Smart Interviewer, powered by the world's largest source of first-party proprietary text data and advanced Natural Language Processing, Sapia turns simple text conversations into unprecedented talent intelligence – enabling organizations to interrupt hiring bias at scale, get to the right talent fast, and give every candidate an experience they love.

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AI TECH,GENERAL AI,MACHINE LEARNING

Arize AI Expands Partnership with Google Cloud To Accelerate Machine Learning Observability

Arize AI | September 30, 2022

Arize AI announced today that its machine learning (ML) observability platform is now available on Google Cloud Marketplace. This availability marks the expansion of the company's partnership with Google Cloud, which will help Arize deliver its platform – which tracks billions of model predictions daily – to more customers globally. With Arize available on Google Cloud Marketplace, customers already leveraging Google Cloud can easily deploy Arize to their cloud environment, speeding their time-to-value. In a matter of minutes, teams can start streamlining their ML troubleshooting efforts with Arize through purpose-built workflows and analytics for model performance management, drift detection, data quality checks, and model validation. This will also provide greater migration support to existing Arize customers as they move their on-prem Arize instances onto Google Cloud's global infrastructure. In addition to bringing its platform to Google Cloud Marketplace, Arize is significantly expanding its use of Google Cloud technology and services as a part of this expanded partnership. Arize, which runs its platform on Google Cloud's secure infrastructure, will increase its use of Google Kubernetes Engine (GKE) to support its hosting production, developer onboarding, and application data management as it scales to meet the growing demand for its solution. "AI continues to change the way organizations automate operations and deliver innovative products and solutions to customers. "We're proud to support the growth of innovators like Arize with the infrastructure, cloud technologies, and go-to-market expertise needed to empower more customers and their machine learning teams with robust ML observability solutions." Drew Bradstock, Director, GKE Product Management, Google Cloud "ML teams count on Arize to be able to handle current and future analytics complexity and scale, and we built the platform with that in mind," said Michael Schiff, Chief Architect and Founding Engineer at Arize. "Having a partner like Google Cloud has been invaluable to Arize's growth, and we look forward to delivering our solutions to more companies through this expanded partnership." About Arize AI Arize AI is a machine learning observability platform that helps ML teams deliver and maintain more successful AI in production. Arize's automated model monitoring and observability platform allows ML teams to quickly detect issues when they emerge, troubleshoot why they happened, and improve overall model performance across both structured and unstructured data. Arize is a remote first company with headquarters in Berkeley, CA.

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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

Read More

AI TECH,AI APPLICATIONS,FUTURE TECH

Sapia and SmartRecruiters partnership brings world-first AI Smart Interviewer to integrations marketplace

Sapia.ai | September 30, 2022

Sapia.ai, creator of the world's first Smart Interviewer, has joined forces with SmartRecruiters, a global leader in enterprise recruitment software, to bring the first and only chat-based assessment tool to the SmartRecruiters integrations marketplace. Recruiters that use Sapia's Smart Interviewer via the SmartRecruiters Marketplace will now be able to dramatically accelerate time to hire and fulfill their diversity objectives. This new partnership will mean that Sapia's Smart Interviewer is the only fully automated apply-to-offer workflow on the market. Sapia CEO, Barb Hyman, said that chat-based assessment is a game-changer for any company that needs to hire the best talent, quickly and at scale. "This partnership is a win for companies needing to hire at F1 velocity, with an experience that is loved by all candidates – to date, 2 million across 47 countries," Hyman said. "Our Smart Interviewer is an assessment, interview, and feedback tool in one that also solves inclusion and diversity issues. It's blind, untimed, and gives every candidate feedback." Sapia's Smart Interviewer can be used for any role and any sector. Customers use the technology to assess candidates for values, scale culture, assess for competencies, or find the best people for key roles. The technology gives talent acquisition teams massive time savings and transforms employer brand. Sapia's innovative chat technology has recently garnered global recognition for its work in mitigating gender bias and for its ethical AI. Recently, the company also won an innovation award at Vivatech Paris, claiming the 'cutting edge technologies and employee experience' category . Sapia.ai has offices in Melbourne and Sydney, Australia, along with Chicago in the United States and London supporting the EMEA market, allowing support for companies across the globe. About Sapia.ai Sapia's mission is to build a fairer, more human world through ethical AI. Using the world's first Smart Interviewer, powered by the world's largest source of first-party proprietary text data and advanced Natural Language Processing, Sapia turns simple text conversations into unprecedented talent intelligence – enabling organizations to interrupt hiring bias at scale, get to the right talent fast, and give every candidate an experience they love.

Read More

AI TECH,GENERAL AI,MACHINE LEARNING

Arize AI Expands Partnership with Google Cloud To Accelerate Machine Learning Observability

Arize AI | September 30, 2022

Arize AI announced today that its machine learning (ML) observability platform is now available on Google Cloud Marketplace. This availability marks the expansion of the company's partnership with Google Cloud, which will help Arize deliver its platform – which tracks billions of model predictions daily – to more customers globally. With Arize available on Google Cloud Marketplace, customers already leveraging Google Cloud can easily deploy Arize to their cloud environment, speeding their time-to-value. In a matter of minutes, teams can start streamlining their ML troubleshooting efforts with Arize through purpose-built workflows and analytics for model performance management, drift detection, data quality checks, and model validation. This will also provide greater migration support to existing Arize customers as they move their on-prem Arize instances onto Google Cloud's global infrastructure. In addition to bringing its platform to Google Cloud Marketplace, Arize is significantly expanding its use of Google Cloud technology and services as a part of this expanded partnership. Arize, which runs its platform on Google Cloud's secure infrastructure, will increase its use of Google Kubernetes Engine (GKE) to support its hosting production, developer onboarding, and application data management as it scales to meet the growing demand for its solution. "AI continues to change the way organizations automate operations and deliver innovative products and solutions to customers. "We're proud to support the growth of innovators like Arize with the infrastructure, cloud technologies, and go-to-market expertise needed to empower more customers and their machine learning teams with robust ML observability solutions." Drew Bradstock, Director, GKE Product Management, Google Cloud "ML teams count on Arize to be able to handle current and future analytics complexity and scale, and we built the platform with that in mind," said Michael Schiff, Chief Architect and Founding Engineer at Arize. "Having a partner like Google Cloud has been invaluable to Arize's growth, and we look forward to delivering our solutions to more companies through this expanded partnership." About Arize AI Arize AI is a machine learning observability platform that helps ML teams deliver and maintain more successful AI in production. Arize's automated model monitoring and observability platform allows ML teams to quickly detect issues when they emerge, troubleshoot why they happened, and improve overall model performance across both structured and unstructured data. Arize is a remote first company with headquarters in Berkeley, CA.

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