How to Save time During the Holidays

May 16, 2019 | 122 views

My least productive month for writing has to be November and December. I think I have already discussed that I hate writing in the winter, which is weird because I love the winter. While there are other constrictions, the biggest hindrances are the holidays. I love them. Family, food, gifts, guilt-free goodies.

Spotlight

HBI Solutions, Inc.

HBI’s expert staff include researchers, physicians, data scientists, software engineers, and healthcare IT executives providing a unique blend of experience spanning patient care, academic research, machine learning, and operations management.

OTHER ARTICLES
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.

Read More
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.

Read More
SOFTWARE

Language Models: Emerging Types and Why They Matter

Article | August 8, 2022

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

Read More
SOFTWARE

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

Article | July 5, 2022

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

Read More

Spotlight

HBI Solutions, Inc.

HBI’s expert staff include researchers, physicians, data scientists, software engineers, and healthcare IT executives providing a unique blend of experience spanning patient care, academic research, machine learning, and operations management.

Related News

FUTURE TECH

New Relic Launches Agentless Monitoring for SAPⓇ Solutions

New Relic | July 21, 2022

New Relic , the observability company, today announced the general availability of New Relic Monitoring for SAPⓇ Solutions, the industry's first native observability solution delivered in an agentless manner for enterprises running critical business processes on SAP systems. The solution empowers IT teams to better support business operations by harnessing existing SAP data sources to access all necessary telemetry data and avoids the need to install intrusive monitoring agents in SAP production servers or rely on third-party connectors. With all telemetry unified in one place, New Relic offers turnkey visualization for dashboards, traces, and maps, in addition to anomaly detection and alerts for SAP and non-SAP systems. The solution can help teams with faster root-cause analysis and resolution of interruptions that may impact the organization’s ability to generate revenue or deliver critical services. Ninety-nine percent of the world’s largest companies rely on SAP to accelerate multiple business functions, from processing purchase orders and vendor invoices to running finance and payroll. These critical business processes cannot be interrupted without serious impact to an organization’s ability to generate revenue and deliver products and services to their customers. Until now, getting a full view of all of the complex SAP applications throughout an organization’s technology stack proved difficult, leaving customers unprepared for business process interruptions. New Relic Monitoring for SAP Solutions offers the industry's first native observability solution delivered in an agentless manner for enterprises running critical business processes on SAP systems. “New Relic recognizes that enterprises worldwide rely on SAP to run their business, and any issues with infrastructure or applications can severely impact revenue and service delivery,” said Rey Perez, Chief Customer Officer at New Relic. “With Monitoring for SAP Solutions, New Relic is giving organizations the power to detect issues earlier — even before they occur — and enabling faster root-cause resolution when problems are found. We’re bringing business level monitoring to a new level.” “As a strategic partner to New Relic, we understand how mission critical SAP is to our customer base, which is why we are excited for the launch of New Relic Monitoring for SAP Solutions,” said Shrey Prakash, Director, Software & Cloud, Asia Pacific & Japan at SoftwareONE. “SoftwareONE helps our customers migrate SAP applications to the public cloud, and New Relic Monitoring for SAP Solutions will create the much needed visibility into performance and overall health of SAP systems to ensure a smooth and successful cloud migration.” Key benefits of the solution include: Easy Agentless Install: Harness existing SAP data sources to access all necessary telemetry data instead of installing monitoring agents in SAP production servers. Comprehensive Observability: Unify metrics, events, logs, and traces from multiple SAP systems, as well as non-SAP systems, into a central, common view within New Relic. Prebuilt Visualizations: Activate New Relic’s powerful visualization tools to explore SAP telemetry data combined with non-SAP data so both business and IT professionals can drive efficient communication and collaboration through shared dashboards. Tagged Workload Visualization: Tag SAP data to its relevant business process, empowering IT teams with infrastructure and application monitoring to better support the business and deliver on response SLAs. Advanced Alerting: Leverage AI/ML-powered alerting functionality for early incident detection and notification. Fast Root Cause Analysis: Eliminate arduous and time consuming manual analysis that requires logging into various SAP systems to identify the underlying cause of an issue. New Relic Monitoring for SAP Solutions v2.0 has been certified for deployment on SAP NetWeaverⓇ 7.5 via the SAP integration scenario ABAPⓇ Add-On Deployment for SAP Enterprise Resource Planning. The solution enables the monitoring of SAP ECC, SAP S/4HANAⓇ and other SAP Netweaver-based systems. The New Relic solution for SAP monitoring is generally available today. About New Relic As a leader in observability, New Relic empowers engineers with a data-driven approach to planning, building, deploying, and running great software. New Relic delivers the only unified data platform that empowers engineers to get all telemetry—metrics, events, logs, and traces—paired with powerful full stack analysis tools to help engineers do their best work with data, not opinions. Delivered through the industry’s first usage-based consumption pricing that’s intuitive and predictable, New Relic gives engineers more value for the money by helping improve planning cycle times, change failure rates, release frequency, and mean time to resolution. This helps the world’s leading brands including American Red Cross, Australia Post, Banco Inter, Chegg, Gojek, Signify Health, TopGolf, World Fuel Services (WFS), and Zalora improve uptime, reliability, and operational efficiency to deliver exceptional customer experiences that fuel innovation and growth.

Read More

SAP and Customers Innovate New Ways for Industry-Specific Parts Planning

SAP | September 10, 2019

These are the result of SAP’s intelligent supply chain for assets customer initiative, which brought together SAP and more than 45 customers to co-innovate in this mission-critical area. The announcement was made at the North American Supply Chain Executive Summit in Chicago.“Every business leader I meet is looking for new ways to procure, manage and maintain aging assets to ultimately deliver on the desires of their customers,” said Franz Hero, SAP senior vice president, Digital Supply Chain Development. “With this initiative, we went straight to the source, working directly with our valued customers to explore new techniques and come up with real-world answers. Together, we’ve found a fresh approach to supply-chain planning and asset management to benefit everyone.”The customer collaboration yielded two main scenarios that existing and new customers can take advantage of to help them plan spare parts to enhance these scenarios as part of SAP’s strategy for digital supply chain.

Read More

SAP Launches New Accelerator Program in Munich

SAP | September 16, 2019

SAP.iO Foundry Munich is part of SAP’s innovation strategy and is designed to provide the startups with access to curated mentorship, exposure to SAP technology and application programmable interfaces (APIs), and opportunities to collaborate with SAP customers.The startups in the Munich cohort were selected based on their ability to: Enhance customer experiences in commerce and marketing. Apply emerging technologies, such as machine learning, artificial intelligence, the Internet of Things (IoT) and augmented reality, that unlock enterprise data and drive outsized outcomes. Acquire customers and show readiness to scale.“The SAP.iO expansion to Munich is a signature commitment to the German startup ecosystem,” said Deepak Krishnamurthy, SAP chief strategy and transformation officer. “We will empower the startups to deliver value to our customers and, at the same time, build a compelling ecosystem around SAP C/4HANA and customer experience solutions.”

Read More

FUTURE TECH

New Relic Launches Agentless Monitoring for SAPⓇ Solutions

New Relic | July 21, 2022

New Relic , the observability company, today announced the general availability of New Relic Monitoring for SAPⓇ Solutions, the industry's first native observability solution delivered in an agentless manner for enterprises running critical business processes on SAP systems. The solution empowers IT teams to better support business operations by harnessing existing SAP data sources to access all necessary telemetry data and avoids the need to install intrusive monitoring agents in SAP production servers or rely on third-party connectors. With all telemetry unified in one place, New Relic offers turnkey visualization for dashboards, traces, and maps, in addition to anomaly detection and alerts for SAP and non-SAP systems. The solution can help teams with faster root-cause analysis and resolution of interruptions that may impact the organization’s ability to generate revenue or deliver critical services. Ninety-nine percent of the world’s largest companies rely on SAP to accelerate multiple business functions, from processing purchase orders and vendor invoices to running finance and payroll. These critical business processes cannot be interrupted without serious impact to an organization’s ability to generate revenue and deliver products and services to their customers. Until now, getting a full view of all of the complex SAP applications throughout an organization’s technology stack proved difficult, leaving customers unprepared for business process interruptions. New Relic Monitoring for SAP Solutions offers the industry's first native observability solution delivered in an agentless manner for enterprises running critical business processes on SAP systems. “New Relic recognizes that enterprises worldwide rely on SAP to run their business, and any issues with infrastructure or applications can severely impact revenue and service delivery,” said Rey Perez, Chief Customer Officer at New Relic. “With Monitoring for SAP Solutions, New Relic is giving organizations the power to detect issues earlier — even before they occur — and enabling faster root-cause resolution when problems are found. We’re bringing business level monitoring to a new level.” “As a strategic partner to New Relic, we understand how mission critical SAP is to our customer base, which is why we are excited for the launch of New Relic Monitoring for SAP Solutions,” said Shrey Prakash, Director, Software & Cloud, Asia Pacific & Japan at SoftwareONE. “SoftwareONE helps our customers migrate SAP applications to the public cloud, and New Relic Monitoring for SAP Solutions will create the much needed visibility into performance and overall health of SAP systems to ensure a smooth and successful cloud migration.” Key benefits of the solution include: Easy Agentless Install: Harness existing SAP data sources to access all necessary telemetry data instead of installing monitoring agents in SAP production servers. Comprehensive Observability: Unify metrics, events, logs, and traces from multiple SAP systems, as well as non-SAP systems, into a central, common view within New Relic. Prebuilt Visualizations: Activate New Relic’s powerful visualization tools to explore SAP telemetry data combined with non-SAP data so both business and IT professionals can drive efficient communication and collaboration through shared dashboards. Tagged Workload Visualization: Tag SAP data to its relevant business process, empowering IT teams with infrastructure and application monitoring to better support the business and deliver on response SLAs. Advanced Alerting: Leverage AI/ML-powered alerting functionality for early incident detection and notification. Fast Root Cause Analysis: Eliminate arduous and time consuming manual analysis that requires logging into various SAP systems to identify the underlying cause of an issue. New Relic Monitoring for SAP Solutions v2.0 has been certified for deployment on SAP NetWeaverⓇ 7.5 via the SAP integration scenario ABAPⓇ Add-On Deployment for SAP Enterprise Resource Planning. The solution enables the monitoring of SAP ECC, SAP S/4HANAⓇ and other SAP Netweaver-based systems. The New Relic solution for SAP monitoring is generally available today. About New Relic As a leader in observability, New Relic empowers engineers with a data-driven approach to planning, building, deploying, and running great software. New Relic delivers the only unified data platform that empowers engineers to get all telemetry—metrics, events, logs, and traces—paired with powerful full stack analysis tools to help engineers do their best work with data, not opinions. Delivered through the industry’s first usage-based consumption pricing that’s intuitive and predictable, New Relic gives engineers more value for the money by helping improve planning cycle times, change failure rates, release frequency, and mean time to resolution. This helps the world’s leading brands including American Red Cross, Australia Post, Banco Inter, Chegg, Gojek, Signify Health, TopGolf, World Fuel Services (WFS), and Zalora improve uptime, reliability, and operational efficiency to deliver exceptional customer experiences that fuel innovation and growth.

Read More

SAP and Customers Innovate New Ways for Industry-Specific Parts Planning

SAP | September 10, 2019

These are the result of SAP’s intelligent supply chain for assets customer initiative, which brought together SAP and more than 45 customers to co-innovate in this mission-critical area. The announcement was made at the North American Supply Chain Executive Summit in Chicago.“Every business leader I meet is looking for new ways to procure, manage and maintain aging assets to ultimately deliver on the desires of their customers,” said Franz Hero, SAP senior vice president, Digital Supply Chain Development. “With this initiative, we went straight to the source, working directly with our valued customers to explore new techniques and come up with real-world answers. Together, we’ve found a fresh approach to supply-chain planning and asset management to benefit everyone.”The customer collaboration yielded two main scenarios that existing and new customers can take advantage of to help them plan spare parts to enhance these scenarios as part of SAP’s strategy for digital supply chain.

Read More

SAP Launches New Accelerator Program in Munich

SAP | September 16, 2019

SAP.iO Foundry Munich is part of SAP’s innovation strategy and is designed to provide the startups with access to curated mentorship, exposure to SAP technology and application programmable interfaces (APIs), and opportunities to collaborate with SAP customers.The startups in the Munich cohort were selected based on their ability to: Enhance customer experiences in commerce and marketing. Apply emerging technologies, such as machine learning, artificial intelligence, the Internet of Things (IoT) and augmented reality, that unlock enterprise data and drive outsized outcomes. Acquire customers and show readiness to scale.“The SAP.iO expansion to Munich is a signature commitment to the German startup ecosystem,” said Deepak Krishnamurthy, SAP chief strategy and transformation officer. “We will empower the startups to deliver value to our customers and, at the same time, build a compelling ecosystem around SAP C/4HANA and customer experience solutions.”

Read More

Events