Mediaboss Marketing

In the legal world, and in particular the world of electronic discovery, artificial intelligence (AI) has been around for more than a decade. It is no longer unusual or controversial for organizations to use AI technologies in litigation, especially where large or complex data sets are involved. Legal teams now routinely turn to AI to defensibly accelerate the process of identifying documents likely to be responsive to requests for evidence.

Innovations like technology assisted review (TAR), for example, rely heavily on machine learning and natural language processing to make connections and identify patterns within a body of data in a matter of seconds. This is work that would take even the most qualified human reviewers many, many hours to do manually, and with less accuracy.

Apart from sheer computing power, one of the most useful features of AI technology like machine learning is its ability to quickly learn and continuously improve the accuracy of its outputs with the essentially passive assistance of human reviewers. In continuous active learning (CAL), now a feature of leading eDiscovery platforms, even the process of training machines to find what youre looking for is performed algorithmically with no direction from human document reviewers beyond the coding or labeling they perform in the process of manual review. This is a remarkably efficient and cost-effective way to teach machines to identify responsive information, and it has enormous potential for other vital corporate functions. A notable example is compliance.

The usefulness of active learning as a proactive compliance and information governance tool has only recently begun to be explored and appreciated. Across the corporate landscape, reactive approaches to potential problems hidden in data stores are far more commonand ultimately more costly and risky. Companies will typically wait until a whistleblower complains or an employee happens upon a potential problem, and then respond by launching an internal investigation.

AI technology can help your organization avoid this scenario. You can use it to:

This handful of examples represents only a small fraction of potential use cases for AI in compliance and governance activities. Every industry will present a different set of use cases. Nevertheless, enterprises in just about every vertical face daunting compliance challenges requiring the identification of data-based risks in vast repositories of structured and unstructured data. This data is generated by hundreds or thousands of applications operating within diverse and often poorly integrated systems. This is the kind of environment where AI shines.

If your organization is already using an eDiscovery platform with built-in AI tools, it might make sense to explore how you can use those tools for broader data management, information governance, and risk mitigation purposes. As you run regular health checks, you will get a better understanding of your data and your approach to data-based compliance will be more proactive and cost-effective. That means fewer investigations in response to potential issues and, in many cases, less litigation overall.

About the Author

David Carns is the Chief Revenue Officer of Casepoint. He joined Casepoint as a Director of Client Services in 2010, rose the ranks to Chief Strategy Officer until his most recent promotion in 2019. In addition to being a recovering attorney, David possesses a lifelong passion for technology and its advancements. His career has always found him at the intersection of technology and the legal field given his intimate knowledge of both. Carns holds a Juris Doctorate from The John Marshall Law School and a Bachelors degree in Philosophy from DePauw University.

Sign up for the free insideBIGDATAnewsletter.

Join us on Twitter:@InsideBigData1 https://twitter.com/InsideBigData1

More:
Using Artificial Intelligence Tools to Run Proactive Health Check Investigations - insideBIGDATA

SEATTLE, May 3, 2021 /PRNewswire-PRWeb/ -- Zonar, the leader in smart fleet technology, today announced it has been named an award winner in the Business Intelligence Group's 2021 Excellence in Customer Service and Artificial Intelligence Excellence programs.

The Artificial Intelligence Excellence program recognizes organizations, products and people bringing artificial intelligence (AI) to life and applying it to solve real problems. Zonar Coach, a smart dashcam with real-time, in-cab coaching, has upheld commercial trucking safety standards by utilizing AI to detect distracted driving behaviors and keep truck drivers safe on the road.

"We are so proud to name Zonar as a winner in our inaugural Artificial Intelligence Excellence Awards program," said Maria Jimenez, chief nominations officer for Business Intelligence Group. "It was clear to our judges that Zonar was using AI to improve the lives of its customers and employees. Congratulations to the entire team."

The Excellence in Customer Service program celebrates companies achieving business success and growth by supporting their own customers and those who are developing the tools to help others find success. Zonar's dedicated customer success team is responsible for relationship building and management with customers. While most other companies in the industry provide a base-level customer support system, Zonar goes above and beyond to provide concierge-level service to all customers.

"On the frontline of our uncertain times are customer service professionals and suppliers without whom we wouldn't be able to live as comfortably as we have for the last year," Jimenez said. "It is our honor to recognize Zonar for leading by example and making real progress on improving the daily lives of so many."

Organizations from across the globe submitted their recent innovations and best practices for consideration. Nominations were then judged by a select group of business leaders and executives who volunteer their time and expertise to score submissions.

"Zonar's commitment to industry innovation and support is transformative. We are setting the bar high and seeing success through understanding our customer's top priorities and challenges," said Michael Gould, chief operating officer at Zonar. "We are thrilled to be recognized for technology that is keeping drivers safe on the road and exemplifying what it means to truly offer exceptional customer support."

Earlier this year, Zonar was also honored by Business Intelligence Group in its BIG Innovation Awards for its efforts to increase digitization in vocational, pupil transportation, mass transit and commercial trucking industries over the past 20 years.

Founded in 2001, Zonar has pioneered smart fleet management solutions throughout vocational, pupil, mass transit and commercial trucking industries. Zonar's mission is to enhance the safety, performance and success of our customers by transforming the delivery of innovative insights for commercial fleets around the world. Zonar achieves this by helping fleets of all sizes maximize the use of their assets with solutions dedicated to improving compliance, efficiency, maintenance, ridership visibility, safety and tracking. Cloud-based services with open APIs drive Zonar's smart fleet solutions by making it easy for fleet owners and managers to stay connected to their fleets and drivers and operators to dispatch. Headquartered in Seattle and majority-owned by technology company Continental, Zonar also has a Technology Development Center in downtown Seattle, a regional office in Cincinnati, and a distribution center outside of Atlanta. For more information about Zonar, go to http://www.zonarystems.com

About Business Intelligence Group

The Business Intelligence Group was founded with the mission of recognizing true talent and superior performance in the business world. Unlike other industry award programs, these programs are judged by business executives having experience and knowledge. The organization's proprietary and unique scoring system selectively measures performance across multiple business domains and then rewards those companies whose achievements stand above those of their peers.

Read the rest here:
Zonar Named Winner in Business Intelligence Group's 2021 Excellence in Customer Service and Artificial Intelligence Excellence Awards - goskagit.com

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.

Share This ArticleDo the sharing thingy

About AuthorMore info about author

Originally posted here:
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.

You are using adblocker please support us by whitelisting http://www.fenews.co.uk

As @Jisc launches its National Centre for Artificial Intelligence in T

This past year has been incredibly challenging for all of us. As we em

The launch of the first six apprenticeships arising from the work on t

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.

You are now being logged in using your Facebook credentials

Here is the original post:
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.

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