Boost Application Security with Self-Protecting Software

April 2, 2019 | 58 views

Terry Sweeny, Editor at DARKReading and Jeff Williams, CTO and Co-Founder at Contrast Security discuss the need for a different, accurate approach to help development teams code faster and better without forcing new steps. We agree there is a scarce resource for security experts, therefore having more accurate tools avoids the constant need to stop to scan and check all code being pushed into production.

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Wolfram|Alpha LLC

Wolfram|Alpha's long-term goal is to make all systematic knowledge immediately computable and accessible to everyone. We aim to collect and curate all objective data; implement every known model, method, and algorithm; and make it possible to compute whatever can be computed about anything. Our goal is to build on the achievements of science and other systematizations of knowledge to provide a single source that can be relied on by everyone for definitive answers to factual queries.

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The Revolutionary Power of 5G in Automation and Industry Digitization

Article | July 13, 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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SOFTWARE

AI's Impact on Improving Customer Experience

Article | August 8, 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 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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Spotlight

Wolfram|Alpha LLC

Wolfram|Alpha's long-term goal is to make all systematic knowledge immediately computable and accessible to everyone. We aim to collect and curate all objective data; implement every known model, method, and algorithm; and make it possible to compute whatever can be computed about anything. Our goal is to build on the achievements of science and other systematizations of knowledge to provide a single source that can be relied on by everyone for definitive answers to factual queries.

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AI TECH,GENERAL AI,SOFTWARE

C3 AI Introduces New ESG Application

C3.ai, Inc. | September 15, 2022

C3 AI , the Enterprise AI software application company, today announced the introduction of C3 AI ESG, an application that harnesses artificial intelligence and machine learning to enable companies to monitor, report, and improve their ESG (environmental, social, and governance) performance. C3 AI ESG reduces the time required to gather, manage, and analyze disparate ESG data, and allows companies to identify ESG risks, capture opportunities, and accelerate initiatives to meet their ESG goals. C3 AI ESG enables customers to integrate data from all their ERP, supplier, customer and manufacturing systems—plus relevant exogenous market data, emissions, and commodity data—and provide comprehensive Scope 1, Scope 2, and Scope 3 ESG reporting in compliance with any of SASB, GRI, TCFD, and CDP reporting standards. C3 AI ESG is entirely predictive, allowing companies to accurately forecast their ESG KPIs and plan mitigation measures to achieve their corporate ESG objectives. According to Verdantix, ESG is estimated to become a $30 billion market by 2030. “As ESG objectives continue to rise on the corporate agenda, organizations require solutions to better plan, track, measure, and report ESG performance across their entire value chain. “C3 AI ESG allows organizations to employ advanced AI and ML capabilities not only to provide complete visibility of their ESG status, but to identify and execute strategies to meet their ambitious ESG goals more effectively.” Ed Abbo, President and CTO at C3 AI Key capabilities of the C3 AI ESG application include: Integrating key ESG data across enterprise systems into a unified data image Continuously calculating and tracking ESG KPIs against goals Providing AI-driven recommendations to improve performance on priority ESG issues Centralizing compliance with major ESG reporting standards and frameworks Automating ESG reporting and workflows to review and approve publication of ESG data Using AI to analyze and efficiently respond to external data requests Identifying emerging ESG risks and opportunities using AI to analyze news, media, and priority stakeholder publications Ensuring data accuracy and integrity with end-to-end auditability and AI-driven data validation C3 AI ESG is immediately available and can be deployed on any private or public cloud infrastructure (including AWS, Microsoft Azure, and Google Cloud), or on-premises. About C3.ai, Inc. C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 AI Application Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications and C3 AI Applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally.

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SOFTWARE,FUTURE TECH

Keysight Announces New Device Modeling Software to Enable One-Stop Workflow

Keysight Technologies | August 26, 2022

Keysight Technologies, Inc., a leading technology company that delivers advanced design and validation solutions to help accelerate innovation to connect and secure the world, announced a new model generator (MG) environment that increases productivity for semiconductor device modeling engineers with improved automation across the entire workflow. Semiconductor device modeling engineers require automated tools to create accurate simulation models and process design kits (PDK) for baseband and radio frequency (RF) integrated circuit (IC) designs that leverage both silicon (CMOS) and compound III-V technologies. "Keysight’s device modeling 2023 software suite addresses the needs of customers who generate high-quality SPICE models in limited time. "This new solution offers workflow and speed improvements and represents a significant advancement toward delivering a flexible and open environment that integrates all Keysight modeling technologies." Ma Long, manager of device modeling and characterization at Keysight Technologies To address the growing needs of device modeling engineers, Keysight’s device modeling 2023 software suite includes: PathWave Device Modeling (IC-CAP) 2023 features the MG, a new modeling flow manager that enables a one-click import of measured data, creation of trend plots, organization of the extraction flow, basic QA verification and documentation. IC-CAP also upgrades Radio Frequency Gallium Nitride (RF GaN) packages, a wide bandgap material that offers significant advantages in high-power RF applications, with support for the latest Compact Model Coalition (CMC) model versions including improved extraction flows that account for trapping and thermal effects. PathWave Model Builder (MBP) 2023 introduces a new and exclusive link to Synopsys’ PrimeSim™ HSPICE®. This ultra-fast link enables optimization and tuning without any speed penalty and delivers access to HSPICE features such as CMC standard models and Verilog-A compiler for custom models. PathWave Model QA (MQA) 2023 enhances the new project template-based workflow with various template examples including statistical, corner, table and RF. Advanced Low-frequency Noise Analyzer (A-LFNA) 2023 delivers an integrated and compact measurement system through support of M9601A PXIe Precision Source/Measure Unit. About Keysight Technologies Keysight delivers advanced design and validation solutions that help accelerate innovation to connect and secure the world. Keysight’s dedication to speed and precision extends to software-driven insights and analytics that bring tomorrow’s technology products to market faster across the development lifecycle, in design simulation, prototype validation, automated software testing, manufacturing analysis, and network performance optimization and visibility in enterprise, service provider and cloud environments. Our customers span the worldwide communications and industrial ecosystems, aerospace and defense, automotive, energy, semiconductor and general electronics markets. Keysight generated revenues of $4.9B in fiscal year 2021.

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FUTURE TECH

Lucid Software Broadens Enterprise Offerings With Enhanced Slack Apps for Lucidspark and Lucidchart

Lucid Software | August 05, 2022

Lucid Software, a leading provider of visual collaboration software, today announced the ability for enterprise organizations to streamline their Lucid Slack app deployment by making both Lucidspark and Lucidchart for Slack available across the entire organization. Slack is the collaboration hub that brings the right people, information, and tools together to get work done. These org-wide apps for Slack will enable customers to deploy Lucid products across their entire organization, regardless of the number of Slack workspaces. This makes it easy for users to quickly access Lucid Slack apps from wherever they're working, enabling more efficient collaboration and communication on Lucid documents right within Slack. "Enterprise teams today are working across an ever-growing number of workstreams and applications, often hindering communication and innovation. "Our goal at Lucid is to work where teams work, and this org-wide deployment for Lucid Slack apps brings visual collaboration right to teams' existing workflows and therefore streamlining collaboration so teams can build the future even faster." Dan Lawyer, chief product officer at Lucid The Lucidspark and Lucidchart Slack apps make it easy for users to quickly share Lucid docs, set permissions, create new documents using Slack shortcuts, and push updates back to Lucid products right from Slack. By making the Lucid apps available across an entire organization's Slack workspaces, users can leverage these features to innovate, collaborate and align more effectively. The enhanced apps for Slack build on Lucid's integrations with enterprise tech industry leaders, including Google, Atlassian and Microsoft. These integrations with the Lucid Visual Collaboration Suite make it possible for teams to maximize the value of their tech stack while simultaneously improving engagement and creativity. About Lucid Software Lucid Software Inc. offers a leading Visual Collaboration Suite that helps teams see and build the future from idea to reality. With its products—Lucidchart, Lucidspark and Lucidscale—teams can align around a shared vision, clarify complexity, and collaborate visually, no matter where they're located. Top businesses use Lucid's products all around the world, including customers such as Google, GE and NBC Universal. Lucid's partners include industry leaders such as Google, Atlassian and Microsoft. Since the company's founding, it has received numerous awards for its products, business and workplace culture.

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AI TECH,GENERAL AI,SOFTWARE

C3 AI Introduces New ESG Application

C3.ai, Inc. | September 15, 2022

C3 AI , the Enterprise AI software application company, today announced the introduction of C3 AI ESG, an application that harnesses artificial intelligence and machine learning to enable companies to monitor, report, and improve their ESG (environmental, social, and governance) performance. C3 AI ESG reduces the time required to gather, manage, and analyze disparate ESG data, and allows companies to identify ESG risks, capture opportunities, and accelerate initiatives to meet their ESG goals. C3 AI ESG enables customers to integrate data from all their ERP, supplier, customer and manufacturing systems—plus relevant exogenous market data, emissions, and commodity data—and provide comprehensive Scope 1, Scope 2, and Scope 3 ESG reporting in compliance with any of SASB, GRI, TCFD, and CDP reporting standards. C3 AI ESG is entirely predictive, allowing companies to accurately forecast their ESG KPIs and plan mitigation measures to achieve their corporate ESG objectives. According to Verdantix, ESG is estimated to become a $30 billion market by 2030. “As ESG objectives continue to rise on the corporate agenda, organizations require solutions to better plan, track, measure, and report ESG performance across their entire value chain. “C3 AI ESG allows organizations to employ advanced AI and ML capabilities not only to provide complete visibility of their ESG status, but to identify and execute strategies to meet their ambitious ESG goals more effectively.” Ed Abbo, President and CTO at C3 AI Key capabilities of the C3 AI ESG application include: Integrating key ESG data across enterprise systems into a unified data image Continuously calculating and tracking ESG KPIs against goals Providing AI-driven recommendations to improve performance on priority ESG issues Centralizing compliance with major ESG reporting standards and frameworks Automating ESG reporting and workflows to review and approve publication of ESG data Using AI to analyze and efficiently respond to external data requests Identifying emerging ESG risks and opportunities using AI to analyze news, media, and priority stakeholder publications Ensuring data accuracy and integrity with end-to-end auditability and AI-driven data validation C3 AI ESG is immediately available and can be deployed on any private or public cloud infrastructure (including AWS, Microsoft Azure, and Google Cloud), or on-premises. About C3.ai, Inc. C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 AI Application Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications and C3 AI Applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally.

Read More

SOFTWARE,FUTURE TECH

Keysight Announces New Device Modeling Software to Enable One-Stop Workflow

Keysight Technologies | August 26, 2022

Keysight Technologies, Inc., a leading technology company that delivers advanced design and validation solutions to help accelerate innovation to connect and secure the world, announced a new model generator (MG) environment that increases productivity for semiconductor device modeling engineers with improved automation across the entire workflow. Semiconductor device modeling engineers require automated tools to create accurate simulation models and process design kits (PDK) for baseband and radio frequency (RF) integrated circuit (IC) designs that leverage both silicon (CMOS) and compound III-V technologies. "Keysight’s device modeling 2023 software suite addresses the needs of customers who generate high-quality SPICE models in limited time. "This new solution offers workflow and speed improvements and represents a significant advancement toward delivering a flexible and open environment that integrates all Keysight modeling technologies." Ma Long, manager of device modeling and characterization at Keysight Technologies To address the growing needs of device modeling engineers, Keysight’s device modeling 2023 software suite includes: PathWave Device Modeling (IC-CAP) 2023 features the MG, a new modeling flow manager that enables a one-click import of measured data, creation of trend plots, organization of the extraction flow, basic QA verification and documentation. IC-CAP also upgrades Radio Frequency Gallium Nitride (RF GaN) packages, a wide bandgap material that offers significant advantages in high-power RF applications, with support for the latest Compact Model Coalition (CMC) model versions including improved extraction flows that account for trapping and thermal effects. PathWave Model Builder (MBP) 2023 introduces a new and exclusive link to Synopsys’ PrimeSim™ HSPICE®. This ultra-fast link enables optimization and tuning without any speed penalty and delivers access to HSPICE features such as CMC standard models and Verilog-A compiler for custom models. PathWave Model QA (MQA) 2023 enhances the new project template-based workflow with various template examples including statistical, corner, table and RF. Advanced Low-frequency Noise Analyzer (A-LFNA) 2023 delivers an integrated and compact measurement system through support of M9601A PXIe Precision Source/Measure Unit. About Keysight Technologies Keysight delivers advanced design and validation solutions that help accelerate innovation to connect and secure the world. Keysight’s dedication to speed and precision extends to software-driven insights and analytics that bring tomorrow’s technology products to market faster across the development lifecycle, in design simulation, prototype validation, automated software testing, manufacturing analysis, and network performance optimization and visibility in enterprise, service provider and cloud environments. Our customers span the worldwide communications and industrial ecosystems, aerospace and defense, automotive, energy, semiconductor and general electronics markets. Keysight generated revenues of $4.9B in fiscal year 2021.

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FUTURE TECH

Lucid Software Broadens Enterprise Offerings With Enhanced Slack Apps for Lucidspark and Lucidchart

Lucid Software | August 05, 2022

Lucid Software, a leading provider of visual collaboration software, today announced the ability for enterprise organizations to streamline their Lucid Slack app deployment by making both Lucidspark and Lucidchart for Slack available across the entire organization. Slack is the collaboration hub that brings the right people, information, and tools together to get work done. These org-wide apps for Slack will enable customers to deploy Lucid products across their entire organization, regardless of the number of Slack workspaces. This makes it easy for users to quickly access Lucid Slack apps from wherever they're working, enabling more efficient collaboration and communication on Lucid documents right within Slack. "Enterprise teams today are working across an ever-growing number of workstreams and applications, often hindering communication and innovation. "Our goal at Lucid is to work where teams work, and this org-wide deployment for Lucid Slack apps brings visual collaboration right to teams' existing workflows and therefore streamlining collaboration so teams can build the future even faster." Dan Lawyer, chief product officer at Lucid The Lucidspark and Lucidchart Slack apps make it easy for users to quickly share Lucid docs, set permissions, create new documents using Slack shortcuts, and push updates back to Lucid products right from Slack. By making the Lucid apps available across an entire organization's Slack workspaces, users can leverage these features to innovate, collaborate and align more effectively. The enhanced apps for Slack build on Lucid's integrations with enterprise tech industry leaders, including Google, Atlassian and Microsoft. These integrations with the Lucid Visual Collaboration Suite make it possible for teams to maximize the value of their tech stack while simultaneously improving engagement and creativity. About Lucid Software Lucid Software Inc. offers a leading Visual Collaboration Suite that helps teams see and build the future from idea to reality. With its products—Lucidchart, Lucidspark and Lucidscale—teams can align around a shared vision, clarify complexity, and collaborate visually, no matter where they're located. Top businesses use Lucid's products all around the world, including customers such as Google, GE and NBC Universal. Lucid's partners include industry leaders such as Google, Atlassian and Microsoft. Since the company's founding, it has received numerous awards for its products, business and workplace culture.

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