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Artificial Intelligence in Information Technology How Does the Picture Look Like?

The world we live in today is so difficult to imagine without technology. All these years we have heavily relied on Artificial intelligence (AI) and Information Technology (IT). Gone are the days when advanced technologies were considered to be a distant reality and that bringing them to life would take decades. Today, we get to see wide application of all this in every sector possible, be IT in the manner how day-to-day tasks are performed to detecting frauds, and bringing in advanced methods for research purposes. With AI and IT, we have not just accomplished tasks that were considered way out of our league but also saved a lot of time.

AI and IT go hand in hand. The manner in which AI has had an impact on how the IT sector functions over the years is phenomenal. Since we have now reached a stage wherein our life revolves around data and technology, IT is very much expected that the coming years would see a lot more implementation of the same. As per the statistics, AI market is expected to reach$190 billion by 2025.

AI has always been appreciated for having left a positive impact on IT. Heres how-

Automation When the context is AI, how can one not talk about automation? With AI in place, human involvement has either reduced drastically or has come down to zero thanks to the power of automation by virtue of AI. As far as IT is concerned a lot of backend processes can be automated that further result in cost-saving and minimizing human hours as well.

Enhanced productivity As AI makes use of a set of algorithms, IT has become all the more convenient for programmers to identify software bugs while writing code. The advancement has reached a stage wherein certain AI forms have catered to providing suggestions as far as coding is concerned. This further paves the way for the increase in efficiency and thus productivity. Now that bugs are identified in the initial stage itself, no doubt, a lot of time is saved. The future will see improved AI-enabled methods as the algorithms would be able to learn from their mistakes and improve their effectiveness.

Security Data is resent in massive amounts and keeps increasing with every passing day. Since, data is extremely precious, ensuring its security is always a priority. A lot of IT organizations, government bodies, etc. deal with tons of data on a daily basis. Following this, IT becomes very important to deploy algorithms that ensure that the data is secure. Artificial intelligence comes to the rescue. IT holds the potential to provide protection in order to create a high-security layer. AI is capable enough of not just identifying the threats to the data but also provide the needed solutions for the same.

Quality assurance This is one such area that IT engineers cannot overlook. AI methodologies serve to be no less than a saviour here.

Let us now address the main question of interest. Is AI worth investing in? Well, AI has served in a variety of aspects in a wide range of industries. Right from automation in the form of sending reminders, detecting frauds, monitoring traffic to assisting in medical operations, AI has got you covered. AI has made IT easier than ever in handling mundane and repetitive tasks. IT is because of AI that a lot of time is saved as a human intervention has gone down drastically.

Yet another reason as to why IT companies could rely on AI is because of AIs ability to deliver personalized user experience. Right from providing recommendations to answering questions, AI has done IT all.

Though implementing AI is not that an easy task, IT is definitely not difficult to the extent that IT is not worth giving IT a miss. Though the process is a little complex and expensive, the results delivered in the end would be worth IT all. However, for that to happen, IT is important that the organizations realize how positively AI can impact the business. Also, IT is seen that not all companies out there have professionals good enough to handle AI. This is an area to address. IT is important that the whole organization unites and understand the importance of AI to implement IT better.

As far as Artificial intelligence in the Information Technology sector is concerned, IT is transforming IT by making IT more efficient and effective.

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Artificial Intelligence in Information Technology How Does the Picture Look Like? - Analytics Insight

Language is perhaps the most defining factor of humankind. What makes humans different from other animals on the planet is our ability to speak out and communicate via framed words and sentences. The language of a population is one of the most defining factors across countries and nationalities, regions, and cultures. It can define the history, sociocultural situation, and even geographic diversity.

From ancient times, there has been a trend for people to understand the language of one another. History traces back to Greeks and Romans traveling all across the world to discover, decipher and translate languages to find out the cultural, political, and social situations from one era to another. This made it possible for the histories of various countries to be written down, and in such a way, the first written records of man were preserved. These records later went on to define civilizations across the globe.

This ancient art of translating languages became more sophisticated and advanced with time. In a modern world, translation of languages became one of the most important professions. Translators were considered as invaluable assets for every country. The highest political, cultural, and diplomatic connections between people from different countries were established only because translators were present.

Times have changed. The digital wave swept over the world, so language is no longer a barrier. The technology present today has developed methods to translate everything to the users desired languages. This is why the big industry of translation is slowly being shifted to the background.

As high-tech tools for translation purposes became more accessible to the general population, the language translation process became easier. And finally, with Artificial Intelligence, a.k.a. AI, being introduced to most translation services and websites, the need for human interference became close to none.

But was it really the case? Let us see some of the greatest impacts AI has on the translation industry in the present-day scenario.

Perhaps one of the many downsides and one of the biggest challenges of AI being introduced in the translation industry is the loss of jobs. In most cases, AI has replaced humans in the translation process.

This has made the translation services and individual language experts lose their worth in terms of their profession. Though the process of machine translating is more accessible and easy, it does put a number of translators out of their jobs.

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This is a great positive change that AI has brought into the translation industry. The study of languages, translation, and building a vocabulary for new language learners has been made way easier than it was earlier.

Learning a new language was quite an exclusive affair, which is also a reason why the number of people going into translation was limited. But with AI making it possible for anyone to pick up words and phrases of more than one language easily, that environment has been almost eliminated.

In many academic curricula, learning a new language is encouraged. This helps students to become culturally diverse. They can also add this as an extra skill to their profile. With AI-based apps entering the internet, it has become a very easy task to start a new lesson from anywhere.

Outside the classroom, students have a great chance to refer to these apps rather than going to a teacher at every point. While it is a good thing that it has enabled students to become their own teachers, it has also decreased the value of a professional. A number of people in the translation industry who would choose teaching as a second career option may sometimes be discouraged, considering the circumstances.

We can observe that the impact of AI on the translation industry is more negative than positive. But if we look at it from another side, there are certain things we clearly notice. These are:

As mentioned earlier, language is the one factor that makes us differ from every other species of the animal kingdom. Therefore, no matter how powerful an AI is being used for translation, it will never have the same impact as a person explaining themselves from one language to another.

A great example to explain this would be dialects. All around the world, there can be hundreds of different dialects of a single language that define the local population. It makes them distinct and the linguistic differences have to be kept in mind while communicating with them. And a machine translation system cannot always keep track of these as any human translator can.

The words we use and the way we speak make sense in the context of a conversation. A machine cannot necessarily always pick up the context and this leads to misinterpretations of a language. This is where translation services become more important.

For instance, this difference can be best understood when someone requires literary pieces to be translated rather than a regular conversation or paragraph. When it comes to translating a piece of literature, a person would always pick some of the best translation service as their options rather than the app on their phone. Literary translation requires remaining true to the original work while creating a completely unique piece that evokes the same responses as the original piece.

Languages are anintegral part of the culture of a place. The number of languages people speak, and the influences of other languages in it define cultural diversity. And when it comes to an intangible entity like culture, machines do not come into use.

It is only human interaction and connection that defines the importance of cultures. Culture becomes a defining element in studying the geographical and social importance of the place as well.

From the points mentioned above, one thing can be concluded. That though there may have been many changes in terms of language translation with the advent of technology, it can never remove the human element from its place.

When we think about the future, we imagine a well-connected world where people are able to communicate in a clear and easy manner. This became possible only because we saw how easy life has become with the advent of machines and digital technology. When it comes to a language, translation is no longer seen as a barrier to communication. It is just the medium through which people can communicate and come closer, from any part of the whole wide world.

For the future of companies involved in translation and language studies, it may seem like they have a threat from the increasing demand for machine translation. However, if we come to think about it, there may be a silver lining after all. Once the process of translation with AI is made more efficient, it is the translation companies that have the opportunity to train these machines and make them more diverse and intelligent. We might go as far as to say that one day, machines and human translators can be next to each other, working in unison to make this world closer in terms of language.

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How is Artificial Intelligence Challenging the Translation Industry? - FE News

Skip Rollins is CIO at Freeman Health, the largest health system in southwest Missouri, with 5,000 employees, including more than 350 physicians on staff. Like healthcare CIOs across the nation, Rollins has been fighting off the sharp rise in Internet of things attacks plaguing the industry.

IoT devices, including medical devices, are prime targets for hackers, because they can be easy back doors into primary healthcare networks, where the hackers can gain control over critical systems and data. Rollins carefully monitors and secures Freeman Health's extensive use of more than 17,000 IP-connected devices to run its facilities and care for patients.

To help readers with this daunting cybersecurity task, Healthcare IT News interviewed Rollins to discuss the ways he goes about keeping his IoT devices secure, includinghis use of artificial intelligence IT.

Q: Overall, what are the challenges of securing a healthcare organization's Internet of things devices?

A: We're seeing an increase in attack surface from the explosive growth of mission-criticalIoT devices including medical devices that are actually outgrowing the number of traditional IT endpoints. These devices play a critical role in patient careand range widely, from expensive imaging equipment that scans for tumors and HVAC systems that maintain proper air quality,to video surveillance cameras that monitor parking garages.

But these devices also introduce some new security challenges. There are a myriad of them from very different manufacturers, making them harder to secure. These IoT devices aren't designed with security in mind, often run obsolete operating systems and cannot be patched easily. In addition, due to the small footprint of these devices, you cannot support traditional endpoint security agents on them.

As a result, any IT and cybersecurity strategy for a healthcare organization needs to include the security of connected devices such as IoT, including medical devices.

Q: How do you monitor and secure Freeman Health's extensive use of more than 17,000 IP-connected devices?

A: My job as a CIO has evolved so much over the years. My peers and I are much more focused on the business aspects of our role versus the technical side of operations, and that means ensuring that these devices stay in service to support our patients while mitigating the risks that they may bring.

Many of the devices we have are directly involved in patient monitoring. The remainder include facilities-management equipment like HVAC, environmental controls, door locks and security cameras, as well as administrative devices like IP phones, office systems, intercoms, mobile devices and laptop computers.

The first step with securing these devices is really to know what is actually in your network. You can't protect what you don't know about. That's foundational to security. Once you know what devices are in your network at a granular level make, model, serial number and operating system they are running then you can start to understand the risks associated with them, such as vulnerabilities or weak passwords.

The second step is to understand what these devices are doing. You cannot protect what you don't understand. Simply knowing a device is an infusion pump isn't enough.You must understand what it is doing in order to protect it. It's actually easier to understand devices, compared to users, because devices have very deterministic functions.

A camera should perform a certain function, regardless of what it is and where it is deployed. By baselining what's normal, you can identify communications to a malicious domain or an unknown country.

Once you know the device and what it's doing, you can then create appropriate policies to secure these devices. When you have tens of thousands or hundreds of thousands of devices that need to be secured, automation and AI [are]the key to do this at scale and without introducing any errors.

We are very aggressive in our use of technology, and we lean on cybersecurity solutions like Ordr that can help us do this discover and classify devices, map their communications patterns, and secure them in an automated fashion and at scale.

Q: How do you identify anomalous and suspicious device communications outside the organization?

A: To identify anomalous and suspicious device communications, we need to first establish a baseline of what's normal. To do this at scale, you must be able to apply machine learning to accurately classify each device and baseline its dynamic behavior along with the context of your network.

If you can do that, you can immediately identify potential "mutations" devices that are not behaving the way they should and mount an appropriate response to ensure business continuity and prevent catastrophic downstream consequences.

For example, an HVAC system should communicate with a trusted smart building controller using approved protocols and applications such as BACnet, but can be blocked from communicating to the Internet or to another HVAC system.

Q: How do you bridge holistic security of all Freeman Health campuses among non-IT affiliated teams such as biomedical and facilities?

A: Cybersecurity is a team sport. It requires close collaboration among all key stakeholders. Within a healthcare organization, it involves security teams, HTM/biomedical teams, and networking/IT teams working together. My security team may identify a vulnerability associated with a medical device and recommend a patch, but they aren't responsible for implementing the patch.The HTM/biomed teams are.

Perhaps the medical device is running an obsolete operating system and no patches are available. Then the IT and networking teams play a role in segmenting and isolating that device to keep it secure. Everyday users like our doctors and nurses also play a key role in cybersecurity by spotting a phishing attempt and reporting it.

My role as CIO is also to help the business optimize costs, so we also work with non-IT affiliated teams like finance. We use our connected-device security solution to provide device utilization insights. When our healthcare staff puts in a request for new devices, we help our finance teams make smart capital spend decisions with these utilization insights.

Now we can look at a requisition need for new medical devices, and if the current utilization is low, we can reallocate existing devices to meet the needs rather than spend money to buy new equipment.

Twitter:@SiwickiHealthITEmail the writer:bsiwicki@himss.orgHealthcare IT News is a HIMSS Media publication.

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CIO offers a primer on using AI and machine learning to secure IoT devices - Healthcare IT News

When it comes to capital, however, large-scale adjustments are approached with severe caution. With emerging technologies such as AI and automation, as well as the global need for digital transformation, banks have reached a stage where constructive, forward-thinking improvements are no longer value adds but main differentiators.

Fremont, CA : Every day, artificial intelligence (AI) breaks new ground. As a result, it's no surprise that AI is quickly emerging as a critical innovation engine in banking operations. AI is expected to increase the banking and financial services industry by at least USD 1.2 trillion by 2035.

AI is already helping banks save money, and it is projected to be worth USD 447 billion by 2023, with the bulk of the savings coming from the widespread use of AI in front- and middle-office operations.

AI will not only improve cost savings and value creation, but it will also play a critical role in reshaping the banking landscape.

The number of smart devices is increasing in tandem with the availability of fast and consistent internet access. As a result, consumer expectations are rising as well. And it's expanding quickly.

Banks and financial service companies are constantly redefining their offerings to meet the ever-changing consumer needs.

And it is precisely here that AI is supposed to add significant value by bringing predictive analytics capabilities to the table.

AI-powered predictive analytics will help banks and finserv businesses to revisit and rediscover their offerings on a regular basis, build appropriate value propositions, and improve customer experience (CX).

AI Has Become an Integral Part of Digital Strategies

Trust and mutual support are the foundation of the relationship between financial institutions and their customers.

When it comes to capital, however, large-scale adjustments are approached with severe caution. With emerging technologies such as AI and automation, as well as the global need for digital transformation, banks have reached a stage where constructive, forward-thinking improvements are no longer value adds but main differentiators.

Banking solutions must consider consumer expectations well before they are articulated in order to remain ahead of the curve.

Long turnaround times, delivering dynamic solutions, cybersecurity uncertainties, and frequently evolving regulatory landscapes are some of the traditional obstacles that banks and their customers face.

Fintech tools are now assisting banks in their digital transformation efforts while mitigating conventional banking challenges. Banks must formulate and implement rigorous digital strategies that aim to maximize AI in order to bridge the gap between business goals and client expectations. One of the primary goals of banks is to tailor their solutions to the needs of their customers.

And, given the volume of data produced by customers on their smart devices, banks must implement AI-enabled fintech solutions to generate actionable customer insights.

Banks would have a better understanding of their customers' consumption trends and spending habits thanks to the overall analysis of client data through smart APIs, social media entries, and e-commerce spending.

See Also :-Top Artificial Intelligence Solution Companies

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How Artificial Intelligence is Revolutionizing Banking with Predictive Analytics - CIO Applications

SAN FRANCISCO and TALLINN, Estonia, May 3, 2021 /PRNewswire-PRWeb/ --Hepta Airborne, a leading provider of AI-driven analysis and automated drone inspection technologies, announced today that they are making their world-class drone-based AI system for power inspection available in the Intertrust CleanGrid () toolkit. Using Hepta's advanced AI system, grid operators can inspect power lines with drones and receive actionable intelligence via Hepta's decision making system. Intertrust CleanGrid is a toolkit for grid operators planning and managing modern grid systems that provides data rights management and security capabilities, a modular architecture for authenticated third party AI apps accessible via a map-based user interface.

Hepta is focused on data acquisition via drones, satellites and dedicated sensors, using field-required AI software analysis to predict network failures. Today, Hepta has inspected more than 40000km of power lines, and trained its algorithms to defect failure sources such as broken power line elements and vegetation encroachment. Dozens of customers around the world rely on Hepta's technologies and services. Aerial inspection of power lines goes far beyond optimizing grid operations. In a world where climate change has caused serious drought, overgrown vegetation on power lines has caused wildfires that have led to serious loss of life and billions of dollars of financial damage.

"Inspecting and analyzing power lines is one of the most mission critical roles in a utility; it is also one of the most expensive and risk prone activities grid operators grapple with," said Henri Klemmer, Hepta Airborne's chief executive officer. "We provide actionable data and analyses to operators, reducing cost and improving safety. The decisions we enable go far beyond operational efficiencies, and keep grids operating safely in the face of climate change and other operational risks."

The data generated by Hepta's system is very sensitive and typically proprietary. Yet, in many regions the data must be kept securely for audit purposes and subsequent analysis. Since drones can sometimes image personal property and people, privacy of drone collected data is also a major concern. CleanGrid's data rights management system allows Hepta and its customers to govern the data and manage compliance with local and national regulatory requirements. Furthermore, CleanGrid allows various value chain users to access the data and resulting analysis in a governed fashion, and to combine it with other sensitive data in a manner that complies with regulatory requirements, including the GDPR, data residency, and various energy regulations that are common in grid operations.

CleanGrid and its AI modules unite distributed big data, powerful visualization and decision making and advanced analytics in one simple, easy-to-use system. Utilities, municipalities and device makers around the world can use CleanGrid to bring their operations into the age of data driven energy and the IoT.

"Maintaining and upgrading aging power lines is an important and phenomenally expensive and risky process," said Florian Kolb, Intertrust's Chief Commercial Officer and General Manager Energy. "This is especially important in a world that is ever more dependent on electricity in the face of climate change, forest fires and other natural disasters - Hepta's system is a killer app for managing grid lines and we are delighted to partner with them"

About Hepta Airborne

Headquartered in Estonia, Hepta Airborne is a deep tech company, dedicated to solving the most complex challenges in infrastructure inspection with artificial intelligence and data science solutions. Founded in 2017 by experienced energy and aerospace executives, the company automates the inspection of power lines and other infrastructure by utilizing drones, helicopters, satellites, and big data analysis, with long-term plans for creating digital twins for a variety of infrastructures. The company offers a full service of grid inspection to DSOs and TSOs, railway, and communication companies, with a monthly inspection scope of 3.000+ kilometers. Hepta's team comprises 40 software and drone experts, operating in 11 countries from the EU to South-America, and expanding rapidly. The company recently announced a high-level executive Daniel Dobbeni, supervisory board member of the world's largest sustainable energy accelerator EIT InnoEnergy, joining Hepta Airborne's Supervisory Board. Additional information: heptaairborne.com, LinkedIn and Twitter.

About Intertrust

Intertrust provides trusted computing products and services to leading global corporationsfrom mobile, consumer electronics and IoT manufacturers, to service providers and enterprise software platform companies. These products include the world's leading digital rights management (DRM), software tamper resistance, and technologies to enable private data exchanges for various verticals including energy, entertainment, retail/marketing, automotive, fintech, and IoT. Founded in 1990, Intertrust is headquartered in Silicon Valley with regional offices in London, Tokyo, Mumbai, Bangalore, Beijing, Seoul, Riga, and Tallinn. The company has a legacy of invention, and its fundamental contributions in the areas of computer security and digital trust are globally recognized. Intertrust holds hundreds of patents that are key to Internet security, trust, and privacy management components of operating systems, trusted mobile code and networked operating environments, web services, and cloud computing. Additional information is available at intertrust.com, or follow us on Twitter or LinkedIn. https://www.intertrust.com/

Media Contact

Michelle Andersen, Intertrust, +1 4159632289, michelle.andersen@sparkpr.com

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Intertrust Expands CleanGrid() Artificial Intelligence Toolkit Capabilities by Adding Hepta Airborne's Drone-based Power Line Inspection Capabilities...