Here are 5 Solid IoT Trends for 2019

February 18, 2019 | 55 views

The Internet of Things is simultaneously the most remarkable and the most dangerous current IT trend. This is because it promotes the use of connected devices, while not supplying the integrated security necessary to keep all these new endpoints from stretching an organization’s network security thin. Today, we will look at five trending topics for the IoT, and what they mean for a business like yours.

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Wimmer Solutions

"Wimmer Solutions connects industry leading companies in the Pacific Northwest and beyond with the talent and systems they need to achieve their potential. Over the past 12+ years, we’ve built a reputation for creating amazing outcomes for our clients: bringing the right technical expertise and business acumen to help them achieve their goals, and crafting solutions that address their most complex technology and business challenges with swiftness and precision. "

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SOFTWARE

AI's Impact on Improving Customer Experience

Article | August 2, 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 8, 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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AI TECH

Language Models: Emerging Types and Why They Matter

Article | July 20, 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

Wimmer Solutions

"Wimmer Solutions connects industry leading companies in the Pacific Northwest and beyond with the talent and systems they need to achieve their potential. Over the past 12+ years, we’ve built a reputation for creating amazing outcomes for our clients: bringing the right technical expertise and business acumen to help them achieve their goals, and crafting solutions that address their most complex technology and business challenges with swiftness and precision. "

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Evotec forms Oxford initiative to spawn AI-enabled startups

Evotec | June 24, 2019

Evotec has formed a pact to help the University of Oxford’s data-driven drug discovery projects move out of academia. Working with clinical artificial intelligence company Sensyne Health, Evotec will support researchers at the university as they generate data to show the commercial viability of their projects. The collaboration, dubbed LAB10x, is a different spin on the alliance Evotec entered into with the university and affiliated organizations to bridge the gap between academic research and industry in 2016. This time around, the goal is to leverage Oxford’s position at the forefront of academic research into medical, engineering and computer science to spawn AI-enabled startups.

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Orange is bringing together French companies to test and develop 5G uses

IoT Business News | April 24, 2019

At the Orange Business Summit, which has brought together more than 1,000 enterprise-customers of Orange Business Services, Stéphane Richard, the Orange Group’s Chairman & CEO, presented Orange’s ambition and commitment to work with businesses to develop future uses of 5G. Stéphane Richard, Chairman & CEO of the Orange Group, said: “5G will not be just another new development in mobile uses. This is a technological leap that announces a significant transformation of business models for all companies and in all sectors of activity.” “More broadly, we must make every effort to make France one of the leading countries in the development of 5G. This future network is an opportunity to unite and consolidate all our resources, our know-how, our advanced industries, our French Tech and our talents at the service of our country.” This approach based on anticipation and support was illustrated through the announcement of several joint innovation projects with companies that are market leaders in key sectors of the economy, such as the manufacturing industry, energy or transport, and that have an eye on the future.

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Device Authority and Wipro Partner to Deliver Identity Access and Security for the Internet of Medical Things (IoMT)

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Solving secure patient monitoring for a global healthcare company. Device Authority, a global leader in Identity and Access Management (IAM) for the IoT, today launched their strategic partnership and joint customer with Wipro Ltd, a leading information technology, consulting and business process services company. Healthcare providers and organizations are increasingly offering flexible services to patients outside of hospitals and doctor surgeries. We already know that the IoT has played a significant role in uplifting the healthcare industry. Smart medical devices are increasingly part of how specialized treatment is delivered to patients today. These devices are revolutionizing healthcare, making procedures more accessible and enabling physicians to better monitor how patients respond. According to Deloitte, the IoMT market is expected to reach $158 billion by 2022. Together, Wipro and Device Authority are delivering a joint solution for a large multinational healthcare company who are launching a remote patient monitoring service. With a variety of different medical devices connecting and transmitting data, an extra layer of security is required. KeyScaler provides a hybrid security model for patient safety which includes real-time device authenticity validation and policy-driven device derived crypto for data privacy and compliance with HIPAA and GDPR. KeyScaler has the ability to combine PKI and device derived crypto using its policy-based technology, to provide the extra device and data trust and verification required by Medical use cases.

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Evotec has formed a pact to help the University of Oxford’s data-driven drug discovery projects move out of academia. Working with clinical artificial intelligence company Sensyne Health, Evotec will support researchers at the university as they generate data to show the commercial viability of their projects. The collaboration, dubbed LAB10x, is a different spin on the alliance Evotec entered into with the university and affiliated organizations to bridge the gap between academic research and industry in 2016. This time around, the goal is to leverage Oxford’s position at the forefront of academic research into medical, engineering and computer science to spawn AI-enabled startups.

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Solving secure patient monitoring for a global healthcare company. Device Authority, a global leader in Identity and Access Management (IAM) for the IoT, today launched their strategic partnership and joint customer with Wipro Ltd, a leading information technology, consulting and business process services company. Healthcare providers and organizations are increasingly offering flexible services to patients outside of hospitals and doctor surgeries. We already know that the IoT has played a significant role in uplifting the healthcare industry. Smart medical devices are increasingly part of how specialized treatment is delivered to patients today. These devices are revolutionizing healthcare, making procedures more accessible and enabling physicians to better monitor how patients respond. According to Deloitte, the IoMT market is expected to reach $158 billion by 2022. Together, Wipro and Device Authority are delivering a joint solution for a large multinational healthcare company who are launching a remote patient monitoring service. With a variety of different medical devices connecting and transmitting data, an extra layer of security is required. KeyScaler provides a hybrid security model for patient safety which includes real-time device authenticity validation and policy-driven device derived crypto for data privacy and compliance with HIPAA and GDPR. KeyScaler has the ability to combine PKI and device derived crypto using its policy-based technology, to provide the extra device and data trust and verification required by Medical use cases.

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