June 07, 2021

Why data storage isn’t a ‘one size fits all’ solution for IoT

Certain storage solutions are designed with the properties of endurance and resilience at the forefront. These offerings, including the highly reliable and industrial-grade e.MMC (embedded Multimedia Card) and UFS (Universal Flash Storage) embedded flash drives, can endure harsh environments, including those with extreme temperatures or vibrations, such as in a factory setting. One common use case that requires such solutions is in industrial-use drones. These drones, for example, are used by oil-rig workers to complete inspections more quickly and without risking worker safety. Similarly, search and rescue drones require high-performance in varying environments, such as those with fluctuating and extreme weather patterns. One way to achieve low latency is to bring compute and storage nearer to the place it is used, like the network edge, or to devices closer to the edge. This helps enable rapid real-time data transfers and analysis at the edge, where low latency is a fundamental requirement. Smart cities, for example, use and act on real-time data. Emergency services can communicate with traffic lights to synchronise and provide quicker and more direct access to critical locations whilst holding traffic at bay.

The future of storage resides at the intersection of the edge and cloud

Firstly, the digital leaders of the future can’t be built on the technology approaches of the past – IT needs to evolve to provide a technology foundation that accelerates digital innovation. Today’s storage infrastructure technology is designed to make hybrid cloud environments and data produced at the edge easier to deploy and manage. These purpose-built suites of solutions have evolved to fill an essential role in the data centre, providing ever-expanding levels of performance, capacity and resiliency for mission-critical workloads. Modern storage architecture is helping businesses succeed, by not only supporting current business needs, but also allowing scale to evolve IT infrastructure as business dynamics change. Therefore, organisations must refresh their storage infrastructure on a regular basis and keep up with the increased data demands by eliminating ageing infrastructure that is more susceptible to failures that cause outages/downtime. Modern storage infrastructure also frequently includes advanced data protection features that help ensure the on-premises data remains safe and secure. 

Artificial Intelligence: The Evolution Of Neural Networks

Artificial neural networks along with machine learning and artificial intelligence can flawlessly predict severe illnesses. For example, the output of waves of an ECG can be analyzed to understand a patient’s heart and predict heart attacks well in time. Similarly, with an adequate amount of data, dementia can be identified in the early stages by understanding and analyzing EEG patterns. Along with diagnosis, artificial neural networks and machine learning can work together for discovering drugs for the treatment of multiple serious illnesses. Furthermore, the introduction of autonomous cars has the potential of reducing traffic jams and accidents. Neural networks can be extensively used for predicting natural calamities like earthquakes, floods, and volcanic eruptions. Data like seismographs and atmospheric pressure can be collected on a daily basis to analyze and predict the occurrence of natural calamities. Additionally, neural networks can effectively predict changes in the weather and the climate. The future of artificial neural networks hints that chatbots are impacting the retail industry tremendously. 

Realistic Patch Management Tips, Post-SolarWinds

Security hygiene, including patching, is an essential part of defense, says Pironti. Nevertheless, he says, "We're fooling ourselves if we think we can defend ourselves against a nation-state attack [like the SolarWinds incident] while continuing to release code at the speed we do." Curtis Franklin, senior analyst of enterprise security management at Omdia, says companies must have patch management technology to help automate the process now, "because it's gotten really beyond human-scale at this point." Despite the recent high-profile example of a malicious software update, Pironti says companies should not shy away from deploying updates. "I think we would be doing ourselves a disservice if we started distrusting patches," he says. "I'd rather trust my vendors than question them when there's an exploit in the wild." He does, however, say it's fair to ask for better security hygiene in the software development lifecycle. "We've been trained as a society to accept flawed code," says Pironti. 

Saying goodbye to Internet Explorer might be more complicated than you realise

It's going to be odd to see IE go, as it's been part of Windows' internals for almost as long as it's been around, its Trident engine powering tools like Outlook's browser view and Windows' Help system. Even on systems that have the new Edge set as default, opening an email from Outlook in browser view opens it in Internet Explorer. That's because Outlook uses a technique that encapsulates HTML and any image resources in a single file. MHTML, "MIME encapsulation of aggregate HTML documents", was designed for a world where web pages delivered interactivity with applets or ActiveX controls or Flash, and where designers wanted that dynamic content to be part of an email message. It's a useful tool for building formatted emails, using familiar HTML authoring tools, but bundling all the necessary resources in a single archive that's attached to a message. It's an old technique, but one that's still in use. And with IE about to disappear, can you view those messages in a modern browser like Edge? The answer to that question is complicated. If you set the file associations in Windows 10 to support Outlook's MHTML, emails will open in Edge, but will only display as text and without active links.

How The Indian FinTech Is Using AI

CogNext also has an automated technology platform, Platform X, which provides ‘nimble, configurable, interactive, scalable and cost effective’ solutions for regulatory compliance. Such solutions allow financial institutions to control the risk they undertake and improve results in integrity and transparency. Project X works through a technological framework that enables processing customer data and calculations easily. Another element of CogNext is its AutoML solution which encourages domain and business experts working in financial institutions to use ML and AI to create business values. Teams can use this to develop advanced AI projects without coding or even understanding the underlying ML algorithms. ... Capital Float employs AI technologies along with human insight to facilitate risk assessment and marketing. AI and ML algorithms help the company comprehend the creditworthiness of applicants, allowing them to choose the right type of loans for the applicant. Capital Float also utilised AI models to better target customers in their marketing campaigns. In 2018, they acquired a leading Personal Finance Management App, Walnut, further pushing them into the credit-solutions industry.

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