Skillsoft + Convercent: Expanding Compliance Training to Drive Business Outcomes

May 15, 2019 | 93 views

Over the last two years, ethics in the workplace has taken on a new meaning. We have seen the growth of three approaches: top-down, brand-driven and employee activism. For each approach the following examples springs to mind - Starbucks CEO Kevin Johnson taking action after the Philadelphia incident, Nike’s TV commercial narrated by Serena Williams talking about the barriers females athletes face and Google employees walking out after hearing the news about how the company dealt with sexual misconduct allegations against Andy Rubin.

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OSI Digital

OSI Digital, Inc., (formerly OSI Consulting, Inc.) provides purpose-built business and technology solutions that optimize performance to enable data-driven outcomes for our customers. OSI accelerates digital transformation by offering integrated solutions that capture, secure, integrate, analyze and optimize data. Our services include the design, development, and implementation of new solutions as well as the ongoing management, enhancement and support of our customers’ existing business systems.

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SOFTWARE

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 | July 14, 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

OSI Digital

OSI Digital, Inc., (formerly OSI Consulting, Inc.) provides purpose-built business and technology solutions that optimize performance to enable data-driven outcomes for our customers. OSI accelerates digital transformation by offering integrated solutions that capture, secure, integrate, analyze and optimize data. Our services include the design, development, and implementation of new solutions as well as the ongoing management, enhancement and support of our customers’ existing business systems.

Related News

Healthcare firms go for the hybrid cloud approach with compliance and connectivity key

Cloud Tech | February 18, 2019

It continues to be a hybrid cloud-dominated landscape – and according to new research one of the traditionally toughest industries in terms of cloud adoption is now seeing it as a priority. A report from enterprise cloud provider Nutanix has found that in two years’ time, more than a third (37%) of healthcare organisations polled said they would deploy hybrid cloud. This represents a major increase from less than a fifth (19%) today. The study, which polled more than 2,300 IT decision makers, including 345 global healthcare organisations, found more than a quarter (28%) of respondents saw security and compliance as the number one factor in choosing where to run workloads. It’s not entirely surprising. All data can be seen as equal, but healthcare is certainly an industry where the data which comes from it is more equal than others. Factor in compliance initiatives, particularly HIPAA, and it’s clear to see how vital the security message is. Yet another key area is around IT spending. The survey found healthcare organisations were around 40% over budget when it came to public cloud spend, compared to a 35% average for other industries. Organisations polled who currently use public cloud spend around a quarter (26%) of their annual IT budget on it – a number which is expected to rise to 35% in two years. Healthcare firms see ERP and CRM, analytics, containers and IoT – the latter being an evident one for connected medical devices – as important use cases for public cloud. The average penetration in healthcare is just above the global score. 88% of those polled said they see hybrid cloud to positively impact their businesses – yet skills are a major issue, behind only AI and machine learning as an area where healthcare firms are struggling for talent.

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Six best practices for increasing AWS security in a Zero Trust world

Cloud Tech | January 15, 2019

Included in the list of items where the customer is responsible for security “in” the cloud is identity and access management, including Privileged Access Management (PAM) to secure the most critical infrastructure and data. Stolen privileged access credentials are the leading cause of breaches today. Forrester found that 80% of data breaches are initiated using privileged credentials, and 66% of organisations still rely on manual methods to manage privileged accounts. And while they are the leading cause of breaches, they’re often overlooked — not only to protect the traditional enterprise infrastructure — but especially when transitioning to the cloud. Both for on-premise and infrastructure as a service (IaaS), it’s not enough to rely on password vaults alone anymore. Organisations need to augment their legacy Privileged Access Management strategies to include brokering of identities, multi-factor authentication enforcement and “just enough, just-in-time” privilege, all while securing remote access and monitoring of all privileged sessions. They also need to verify who is requesting access, the context of the request, and the risk of the access environment. These are all essential elements of a Zero Trust Privilege strategy, with Centrify being an early leader in this space. The following are six best practices for increasing security in AWS and are based on the Zero Trust Privilege model: Given how powerful the AWS root user account is, it’s highly recommended that the password for the AWS root account be vaulted and only used in emergencies. Instead of local AWS IAM accounts and access keys, use centralised identities (e.g., Active Directory) and enable federated login. By doing so, you obviate the need for long-lived access keys.

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Four cloud security predictions for 2019: Containerisation, load balancers, and more

Cloud Tech | January 08, 2019

The cloud is a vital part of any enterprise infrastructure. The convenience of having a database that can be accessed from any location has dramatically improved efficiency within workforces. While many companies had previously been afraid of making the move, as the open nature of the cloud makes it less secure than on-premise solutions, new advances in cloud security have vastly reduced the number of successful attacks. With 2019 here, it is time to look to the future and predict where the cloud is heading. While there are numerous public cloud providers out there, six stand above the rest. Microsoft Azure, Google Cloud, Amazon Web Services (AWS), IBM, Alibaba and Oracle are the alphas in the cloud provider space and they will only get stronger throughout 2019. The growth of these providers will come primarily from increased revenue in their business services and SaaS services, as well as from new and powerful third-party apps being brought to their respective market stores. Their growth will have the adverse effect of making them a bigger target for malicious attacks and at least one of them will suffer a major breach because of this. However, it will not be enough to slow down momentum. We predict that by the end of 2019, all six will see an increase in profits. 2018 saw the rise of enterprise container adoption with Kubernetes leading the charge. Twelve months ago, Microsoft stated that adoption of Kubernetes on its Azure service had increased by 10x compared to the year before, matching similar reports in 2017 from Google that showed a 9x increase. The open-source nature of Containers provides companies with a lot of freedom to develop secure, scalable and enterprise-ready applications, such as application load balancing and traffic monitoring tools.

Read More

Healthcare firms go for the hybrid cloud approach with compliance and connectivity key

Cloud Tech | February 18, 2019

It continues to be a hybrid cloud-dominated landscape – and according to new research one of the traditionally toughest industries in terms of cloud adoption is now seeing it as a priority. A report from enterprise cloud provider Nutanix has found that in two years’ time, more than a third (37%) of healthcare organisations polled said they would deploy hybrid cloud. This represents a major increase from less than a fifth (19%) today. The study, which polled more than 2,300 IT decision makers, including 345 global healthcare organisations, found more than a quarter (28%) of respondents saw security and compliance as the number one factor in choosing where to run workloads. It’s not entirely surprising. All data can be seen as equal, but healthcare is certainly an industry where the data which comes from it is more equal than others. Factor in compliance initiatives, particularly HIPAA, and it’s clear to see how vital the security message is. Yet another key area is around IT spending. The survey found healthcare organisations were around 40% over budget when it came to public cloud spend, compared to a 35% average for other industries. Organisations polled who currently use public cloud spend around a quarter (26%) of their annual IT budget on it – a number which is expected to rise to 35% in two years. Healthcare firms see ERP and CRM, analytics, containers and IoT – the latter being an evident one for connected medical devices – as important use cases for public cloud. The average penetration in healthcare is just above the global score. 88% of those polled said they see hybrid cloud to positively impact their businesses – yet skills are a major issue, behind only AI and machine learning as an area where healthcare firms are struggling for talent.

Read More

Six best practices for increasing AWS security in a Zero Trust world

Cloud Tech | January 15, 2019

Included in the list of items where the customer is responsible for security “in” the cloud is identity and access management, including Privileged Access Management (PAM) to secure the most critical infrastructure and data. Stolen privileged access credentials are the leading cause of breaches today. Forrester found that 80% of data breaches are initiated using privileged credentials, and 66% of organisations still rely on manual methods to manage privileged accounts. And while they are the leading cause of breaches, they’re often overlooked — not only to protect the traditional enterprise infrastructure — but especially when transitioning to the cloud. Both for on-premise and infrastructure as a service (IaaS), it’s not enough to rely on password vaults alone anymore. Organisations need to augment their legacy Privileged Access Management strategies to include brokering of identities, multi-factor authentication enforcement and “just enough, just-in-time” privilege, all while securing remote access and monitoring of all privileged sessions. They also need to verify who is requesting access, the context of the request, and the risk of the access environment. These are all essential elements of a Zero Trust Privilege strategy, with Centrify being an early leader in this space. The following are six best practices for increasing security in AWS and are based on the Zero Trust Privilege model: Given how powerful the AWS root user account is, it’s highly recommended that the password for the AWS root account be vaulted and only used in emergencies. Instead of local AWS IAM accounts and access keys, use centralised identities (e.g., Active Directory) and enable federated login. By doing so, you obviate the need for long-lived access keys.

Read More

Four cloud security predictions for 2019: Containerisation, load balancers, and more

Cloud Tech | January 08, 2019

The cloud is a vital part of any enterprise infrastructure. The convenience of having a database that can be accessed from any location has dramatically improved efficiency within workforces. While many companies had previously been afraid of making the move, as the open nature of the cloud makes it less secure than on-premise solutions, new advances in cloud security have vastly reduced the number of successful attacks. With 2019 here, it is time to look to the future and predict where the cloud is heading. While there are numerous public cloud providers out there, six stand above the rest. Microsoft Azure, Google Cloud, Amazon Web Services (AWS), IBM, Alibaba and Oracle are the alphas in the cloud provider space and they will only get stronger throughout 2019. The growth of these providers will come primarily from increased revenue in their business services and SaaS services, as well as from new and powerful third-party apps being brought to their respective market stores. Their growth will have the adverse effect of making them a bigger target for malicious attacks and at least one of them will suffer a major breach because of this. However, it will not be enough to slow down momentum. We predict that by the end of 2019, all six will see an increase in profits. 2018 saw the rise of enterprise container adoption with Kubernetes leading the charge. Twelve months ago, Microsoft stated that adoption of Kubernetes on its Azure service had increased by 10x compared to the year before, matching similar reports in 2017 from Google that showed a 9x increase. The open-source nature of Containers provides companies with a lot of freedom to develop secure, scalable and enterprise-ready applications, such as application load balancing and traffic monitoring tools.

Read More

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