Technologies of the future, but where are AI and ML headed to? – YourStory

Today, when we look around, the technological advances in recent years have been immense. We can see driverless cars, hands-free devices that can turn on the lights, and robots working in factories, which prove that intelligent machines are possible.

In the last four years in the Indian startup ecosystem, the terms that were used (overused rather) more than funding, valuation, and exit were artificial intelligence (AI) and machine learning (ML). We also saw investors readily putting in their money in startups that remotely used or claimed to use these emerging technologies.

From deeptech, ecommerce, fintech, and conversational chatbots to mobility, foodtech, and healthcare, AI and ML have transformed most industry sectors today.

The industry has swiftly moved from asking programmers to feed tonnes of code to the machine to acquiring terabytes of data and crunching it to build relevant logic.

Sameer Dhanrajani, chief strategic officer of analytics startup Fractal Analytics, says,

A subset of artificial intelligence, machine learning allows systems to make predictions and crucial business decisions, driven by data and pattern-based experiences. Without humans having to intervene, the algorithms that are fed to the systems are helping them develop and improve their own models and understanding of a certain use-case.

According to a study carried out by Analytics India and AnalytixLabs, the Indian data analytics market is expected to double its size by 2020, with about 24 percent being attributed to Big Data. It said that almost 60 percent of the analytics revenue across India comes from exports of analytics to the USA. Domestic revenue accounts for only four percent of the total analytics revenue across the country.

The BFSI industry accounts for almost 37 percent of the total analytics market while generating almost $756 million. While marketing and advertising comes second at 26 percent, ecommerce contributes to about 15 percent.

At present, the average paycheck sizes of AI and ML engineers in India start from Rs 10 lakh per annum and the maximum cap often crosses Rs 50 lakh per annum.

According to a report by Great Learning, an edtech startup for professional education, India is expected to see 1.5 lakh new openings in Data Science in 2020, an increase of about 62 percent as compared to that of 2019. Currently, 70 percent of job postings in this sector are for Data Scientists with less than five years of work experience.

Shantanu Bhattacharya, a data scientist at Locus, had told YourStory earlier about the phenomenon, and opined that it is wrong to look at machine learning as a tool or a career path, and that it is only a convenient means to develop training models to solve problems in general.

The fluid nature of data science allows people from multiple fields of expertise to come and crack it. Shantanu believes if JRR Tolkien, being the brilliant linguist that he was, pursued data science to develop NLP models, he would have been the greatest NLP expert ever, and that is the kind of liberty and scope data science offers.

Needless to say, AI and ML have the scope to exponentially amplify the profitability and efficiency of a business by automating many tasks. And naturally, the trend has spread its wings to the jobs market where the dire need for experts and engineers in these technologies is only going up, and does not seem to slow down.

Thanks to the hefty paychecks and faster career growth, the role of machine learning engineers has claimed the top spot in job portals.

Hari Krishnan Nair, the co-founder of Great Learning, says,

For a country like India, acquiring new skills is not something of a luxury but a necessary requirement, and the trends of upskilling and reskilling are also currently on the rise to complement with the same. But data science, machine learning, and artificial intelligence are those fields where mere book-reading and formulaic interpretation and execution just does not cut it.

If one aspires to have a competitive career in futuristic technologies, machine learning and data science have a larger spectrum of required understanding of probability, statistics, and mathematics on a fundamental level.

To break the myths around programmers and software developers entering this market, machine learning involves understanding of basic programming languages (Python, SQL, R), linear algebra and calculus, as well as inferential and descriptive statistics.

Siddharth Das, Founder of Univ.ai, an early stage edtech startup that focuses on teaching these tools, says,

For a business world that thrives on data and its leverage, the science around it is where the employment economy is moving towards. While the youth of the country is anxious how rapid their upskilling rate is ought to be, it is no easy mountain to climb to rightfully master the art of data science, which it is often referred to as.

Most professionals say it is a consistent routine of learning for almost six to eight months, to be an expert in this field. During this time, when the industry is almost on the verge of fully migrating to NLP and Neural Networks, which are a significant part of future deep-tech, now is more than a better time to start learning machine learning.

With rapidly changing technological paradigms, predicting how the world is going to run is something close to impossible. And being prepared for anything is the best one can manage with, at the moment.

(Edited by Megha Reddy)

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Technologies of the future, but where are AI and ML headed to? - YourStory

Artificial Intelligence: What Educators Need to Know …

Commentary

Photo by Michael Langan

ByOren Etzioni & Carissa Schoenick

Editors Note: This Commentary is part of a special report exploring game-changing trends and innovations that have the potential to shake up the schoolhouse.Read the full report: 10 Big Ideas in Education.

Artificial intelligence is a rapidly emerging technology that has the potential to change our everyday lives with a scope and speed that humankind has never experienced before. Some well-known technology leaders such as Tesla architect Elon Musk consider AI a potential threat to humanity and have pushed for its regulation "before it's too late"an alarmist statement that confuses AI science with science fiction. What is the reality behind these concerns, and how can educators best prepare for a future with artificial intelligence as an inevitable part of our lives?

General, widespread legislative regulation of AI is not going to be the right way to prepare our society for these changes. The AI field is already humming with a wide variety of new research at an international scale, such that blindly constraining AI research in its early days in the United States would only serve to put us behind the global curve in developing the most important technology of the future. It is also worth noting that there are many applications of AI currently under development that have huge potential benefits for humanity in the fields of medicine, security, finance, and personal services; we would risk a high human and economic cost by slowing or stopping research in those areas if we hastily impose premature, overbearing, and poorly understood constraints.

Oren Etzioni & Carissa Schoenick are CEO and senior program manager at the Allen Institute for Artificial Intelligence, respectively.

Based in Seattle, Etzioni is a professor of computer science at the University of Washington; Schoenick was previously a program manager for Amazon Web Services and for the computational knowledge project WolframAlpha.

The most impactful way to shape the future of AI is not going to be through the regulation of research, but rather through understanding and correctly controlling the tangible impacts of AI on our lives. For example, it is our belief that AI should not be weaponized, and that humans should always have the ultimate "off switch." Beyond these obvious limitations, there are three rules we propose for AI that can be meaningfully applied now to mitigate possible future harm.

An AI system:

1) Must always respect the same laws that apply to its creators and operators;

2) Must always disclose that it is not human whenever it interacts with another entity;

3) Should never retain or share confidential information without explicit approval from the source.

These rules are a strong practical starting point, but to successfully navigate the new world AI will bring about in the coming decades, we're going to need to ensure that our children are learning the skills required both to make sense of this new human-machine dynamic and to control it in the right ways. All students today should be taught basic computer literacy and the fundamentals behind how an AI works, as they will need to be comfortable with learning and incorporating rapidly emerging new technologies into their lives and occupations as they are developed.

We will need our future scientists and engineers to be keenly aware that an AI system can only be as good as the data it is given to work with, and that to avoid dangerous bias or incorrect actions, we need to cultivate the right inputs to these systems that fairly cover all possible perspectives and variables. We will need policymakers who can successfully apply the rules suggested above as well as define the new ones we will need as AI continues to proliferate into the various aspects of our lives.

New and different opportunities and values will likely emerge for humans in the economy that AI creates. As AI makes more resources more widely available, we will find less meaning in material wealth and more value in the activities that are uniquely human. This means that occupations with creative and expressive qualities, such as chefs, tailors, organic farmers, musicians, and artists of all types will become more important in an age in which a real human connection is increasingly precious. Roles that directly affect human development and well-being, such as teaching, nursing, and caregiving, will be especially crucial and should be uplifted as excellent options for people whose vocations are otherwise replaced by AI systems. No AI can hope to match a human for true compassion and empathy, qualities that we should be taking extra care to cultivate in our children to prepare them to inherit a world where these characteristics will be more important than ever.

Background

By Benjamin Herold

What will the rise of artificial intelligence mean for K-12 education?

First, AI and related technologies are reshaping the economy. Some jobs are being eliminated, many others are being changed, and entirely new fields of work are opening up. Those changes are likely to have big implications for the job market in 2030, when today's 6th graders are set to hit their prime working years. But the nation's top economists and technologists are sharply divided about whether AI will be a job killer or creator, presenting a big challenge for the educators and policymakers who must prepare today's students to thrive in a very uncertain tomorrow.

Second, artificial intelligence is changing what it means to be an engaged citizen. K-12 education has never been just about preparing young people for jobs; it's also about making sure they're able to weigh arguments and evidence, synthesize information, and take part in the civic lives of their communities and country. But as algorithms, artificial intelligence, and automated decisionmaking systems are being woven into nearly every aspect of our lives, from loan applications to dating to criminal sentencing, new questions and policy debates and ethical quandaries are emerging. Schools are now faced with having to figure out how to teach students to think critically about the role these technologies are playing in our society and how to use them in smart, ethical ways. Plus, in the age of AI, students will likely have to develop a new communication skill: the ability to talk effectively to intelligent machines. Some economists say that skill could be the difference between success and failure in the workplace of the future.

And third, artificial intelligence could play a powerful role in the push to provide more personalized instruction for all studentsand in the process change the teaching profession itself. Intelligent tutoring systems are making inroads in the classroom. New educational software and technology platforms use algorithms to recommend content and lessons for individual students, sometimes pushing teachers away from the front of the classroom and into the role of "coach" or "facilitator." And schools are being flooded with data about their students, information that educators and administrators alike are increasingly expected to use to make real-time decisions and adjustments in the course of their day-to-day work.

Some educators see the rising role of AI as a threat to their existence and a danger to student-data privacy. Others take a more positive view, seeing it as having the potential to free them from mundane tasks like lecturing and grading, creating rich opportunities for continuous improvement, and opening the doors for more meaningful trial-and-error learning by students.

Whatever the perspective, there is one thing most everyone seems to agree on: Now is the time for the K-12 field to start wrestling with the promises and perils of AI.

Vol. 37, Issue 16, Pages 28-29

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What will artificial intelligence bring in 2020?

As an expert, Im often asked: what will this year bring? I dont have a glass ball to look into the future, or an artificial intelligence (AI)-based system for these kinds of predictions, but there are some interesting trends I certainly want to share.

I will not discuss the growth figures of AI use cases, or whether those not using AI will limp along behind, or whether the AI bubble will burst and a new AI winter will come. Much progress has been made, but not enough to deflect the next hurdle: and that is how to gain knowledge about your business domain with the help of AI.

So, what will AI bring us in the near future? Let me discuss three important topics:

AI is already starting to transform how organizations do business, manage their customer relationships, and stimulate the ideas and creativity that fuel ground-breaking innovation. (Capgemini)

Three years ago, good use cases for machine learning were hard to find. Now, success stories are everywhere. Machine learning, deep learning, neural networks, and all the other variants are now plentiful. So, whatever will happen this year, machine learning is here to stay and, it will become even more successful as more businesses start to use AI for their daily activities.

All these AI algorithms now constitute an integral part of many data-driven tools. For data analysts, using AI is just a click away. But does this imply that AI is used correctly? Im afraid not, because:

But theres more to business processes than task execution. How can we determine if our AI is really an improvement over human-based actions? This is still an open discussion.

Currently, we see machine learning being used in very narrow applications, to make process steps more efficient or to alleviate tedious jobs. But how AI will contribute to a meaningful return on investment has also been a big question, both last year and in 2020.

AI ethics isnt just a feel-good add-on a want but not a need. AI has been called one of the great human rights challenges of the 21st century. (Khari Johnson)

Last year, discussions about the ethics of AI really took off. Though mainly academic, the discussion now focuses not only on the (im)moral consequences of AI, for instance discrimination, job loss, inequality, and so on. The focus now is on values. Is there a thing like AI for good? Do we as a society really want to give decisive powers to machines? And are those machine fair and open? And what about checks and balances?

These discussions do not focus on AI alone. They also concern the use of big data. Smart cities, facial recognition, fraud detection these are all areas where privacy and expedience are to be discussed and assessed. This will require the evaluation of the ethical side from the beginning of the project. Will the ethics of AI be a burdensome duty or a real competitive advantage? I dont know yet.

We will see the rise of ethical frameworks. Just like compliance frameworks for accounting, these frameworks will offer ways of assessing the ethical implications of AI. Like any framework, they are no excuse not to think independently and systematically about AI. Frameworks dont guarantee a good outcome. And the discussion will arise on how to use these frameworks in a business context.

My recent three part blog on ethics (part 1, part 2, part 3) describes an approach to implementing ethics for AI in products, services, and businesses.

Deep learning has instead given us machines with truly impressive abilities but no intelligence. The difference is profound and lies in the absence of a model of reality. (Judea Pearl)

Machine learning, including deep learning and neural networks, is highly successful. These methods are all very good in extracting information from data. Yes, Im aware of the numerous mistakes machine learning makes, and about how machine learning, mostly image recognition, can be fooled. We must learn from these mistakes by improving the algorithms and learning processes. But AI of far more than machine learning alone. Cognitive Computing, Symbolic AI and Contextual Reasoning are also AI. We need to re-evaluate the use of these other AI- techniques for our applications.

This year, well continue to open the black box of machine learning. The algorithms will, through interpretable machine learning, provide insights into how they reached their decisions. But AI in a business context will not be able to evaluate the correctness and fairness of the decisions.

Machine learning is good at extracting information from data, but its lousy at extracting knowledge from information. For data to become information, it must be contextualized, categorized, calculated, and condensed. Information is key for knowledge. Knowledge is closely linked to doing and implies know-how and understanding. This raises the decades-old philosophical question of AI: Do AI systems really understand what they are doing?

Without visiting John Searles Chinese Room again, I truly think that the next step in AI can only be taken once we incorporate some level of knowledge or understanding of AI. In order to do that, well have to take another step toward human-like AI. For example, by using symbolic AI (or classical AI). This is the branch of AI research that concerns itself with attempting to explicitly represent human knowledge in a declarative form (i.e., facts and rules). Combining these older techniques with neural networks in a hybrid form, will take AI even further. This means that causation, knowledge representation, and so on are key factors necessary to take AI to the next level a next level that will be even more exciting than the achievements AI has reached this year.

For more information on this connect with Reinoud Kaasschieter.

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What will artificial intelligence bring in 2020?

AI, emerging technologies to replace 69% of managerial …

By 2024, artificial intelligence (AI) and emerging technologies such as virtual personal assistants and chatbots will replace almost 69 per cent of the manager's workload, predicts research and advisory firm Gartner, Inc.

Such technologies are rapidly making headway into the workplace, Gartner said.

"The role of manager will see a complete overhaul in the next four years," said Helen Poitevin, research vice- president at Gartner, in a statement.

"Currently, managers often need to spend time filling in forms, updating information and approving workflows. By using AI to automate these tasks, they can spend less time managing transactions and can invest more time on learning, performance management and goal setting," she said.

AI and emerging technologies will undeniably change the role of the manager and will allow employees to extend their degree of responsibility and influence, without taking on management tasks, Gartner said.

Application leaders focused on innovation and AI are now accountable for improving worker experience, developing worker skills and building organisational competency in responsible use of AI, it was noted.

"Application leaders will need to support a gradual transition to increased automation of management tasks as this functionality becomes increasingly available across more enterprise applications, said Poitevin.

Nearly 75 per cent of heads of recruiting reported that talent shortages will have a major effect on their organisations, according to Gartner.

Enterprises have been experiencing critical talent shortage for several years.

Organisations need to consider people with disabilities, an untapped pool of critically skilled talent.

Today, AI and other emerging technologies are making work more accessible for employees with disabilities.

Gartner estimates that organisations actively employing people with disabilities have 89 per cent higher retention rates, a 72 per cent increase in employee productivity and a 29 per cent increase in profitability.

In addition, Gartner said that by 2023, the number of people with disabilities employed will triple, due to AI and emerging technologies reducing barriers to access.

"Some organisations are successfully using AI to make work accessible for those with special needs," said Poitevin.

"Restaurants are piloting AI robotics technology that enables paralysed employees to control robotic waiters remotely. With technologies like braille-readers and virtual reality, organisations are more open to opportunities to employ a diverse workforce," she said.

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Artificial Intelligence Task Force | Agency of Commerce …

The Artificial Intelligence Task Force shall investigate the field of artificial intelligence; and make recommendations on the responsible growth of Vermonts emerging technology markets, the use of artificial intelligence in State government, and State regulation of the artificial intelligence field.

Additional detail about H.378 / Act 137.

The Task Force is comprised of fourteen (14) members who will meet not more than 15times and shall submit a Final Report to the Senate Committee on Government Operations and the House Committee on Energy and Technology on or before January 15, 2020.

Read the Final Report here.

Past Meeting Schedule:

Friday, January 10, 20201:30-4:30 PM Agendaand Meeting Minutes

Friday, December 6, 2019 Agenda andMeeting Minutes

November 4, 2019 -Agendaand Meeting Minutes

October 17, 2019 - AgendaandMeeting Minutes

Public Meeting held at the TechJamOctober 17, 2019- Meeting Minutes

October 10, 2019 - Meeting Minutes

October 1, 2019 - Meeting Minutes

September 23, 2019 - Agendaand Meeting Minutes

August 23, 2019 - Agendaand Meeting Minutes

July 25, 2019 - Meeting minutes

July 19, 2019 -Agenda

June 14, 2019- Agendaand meeting minutes

May 20, 2019- Agenda

April26, 2019 -Agendaand meeting minutes

February22, 2019 -Agendaandmeeting minutes

January 18, 2019 - Agenda and meeting minutesORCA Media Recordings: Transportation, Technology, and Manufacturing/Construction

December 14, 2018 -Agenda and meeting minutesPresentation: Artificial Intelligence (AI) - The Hardware Perspective

November 29, 2018 -Agendaand meeting minutes

October 12-Agendaand meetingminutes

September 4 -Agendaand meetingminutes

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Artificial Intelligence Task Force | Agency of Commerce ...

"Smart Gym" That Uses Artificial Intelligence to Open in Franklin – Williamson Source

Exercise Coach, a high-tech fitness smart-gym which mainly relies on artificial intelligence vs traditional equipment, will open in Franklin at 1909 Mallory Lane, Suite 106.

The opening date is set for Feb 4th.

For owner Wil Soles, of Nolensville, this is his first Exercise Coach and he has plans to open locations in Belle Meade and/or Nolensville within the next three years.

This will be the fourth Exercise Coach to open in Tennessee. Exercise Coach has locations in Brentwood (241 Wilson Pike Circle), Collierville and Germantown.

Outfitted with high-tech computerized machines instead of traditional equipment, The Exercise Coach offers highly personalized programs optimized for efficiency, resulting in only two 20-minute workouts per week that cant be matched in effectiveness with even seven days a week of traditional activity-based exercise. The national franchise offers a unique, comprehensive approach to fitness designed to be the perfect fit for anyone, regardless of current fitness levels. The Exercise Coach combines bio-adaptive exercise technology with the guidance and encouragement of certified coaches. The studios create a dynamic exercise experience that blends personalized strength and interval cardio training in each session.

Soles, age 53, spent 31 years in various leadership roles for insurance companies. He ventured into the health and wellness arena when he took a position at Nashville-based Healthways (now part of Sharecare). Most of his career experience has been in sales, customer satisfaction and corporate training. Soles said he chose to open an Exercise Coach franchise so that he could immerse himself in an environment that provides a phenomenal service to a virtually untapped market.

I started off by looking for a company that would provide a great service to others and a great living for me. What I also found along this journey is the value I get personally from being a customer. Im EXACTLY who The Exercise Coach is looking to help. At 53, Im certainly in the demographic but, more importantly, Im the person who has struggled with weight issues for my entire life. Ive been in traditional gym environments and had success in gaining strength and losing fat. Im also that person who had short-lived success and need something like the The Exercise Coach to make a long-term change in my quality of life. What started out as a business venture has also turned into an investment into my personal health and well-being, Soles said.

More than 120 million Americans say they know they need exercise and wish they participated more. The Exercise Coach uses its technology to capture the more reluctant exercise consumer people who are either too busy to spend a great deal of time at the gym, dislike the gym scene and/or are afraid of injuring themselves. Rather than use their proprietary technology competing with other gyms to court the most athletic people, The Exercise Coach offers privacy, convenience, personalization, efficiency and guidance to change the quality of life for people who are less familiar with fitness successes.

About The Exercise CoachFounded in 2000, The Exercise Coach began franchising in 2011 and currently has approximately 70 studios operating nationwide. In addition, The Exercise Coach began its international expansion in Japan in 2017 and has 25 locations there today. Our goal is to see 250 units open in the U.S. and 100 open in Japan by the end of 2022. Learn more here.

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"Smart Gym" That Uses Artificial Intelligence to Open in Franklin - Williamson Source

Current research: Artificial Intelligence in Healthcare Application Market size, status and growth outlook 2027 – WhaTech Technology and Markets News

Artificial Intelligence in Healthcare Application Market Size, Status and Growth Outlook 2019 To 2027

Report Description

A recent market intelligence report that is published by Data Insights Partner onthe global Artificial Intelligence in Healthcare Application marketmakes an offering of in-depth analysis of segments and sub-segments in the regional and internationalArtificial Intelligence in Healthcare Application market. The research also emphasizes on the impact of restraints, drivers, and macro indicators on the regional and globalArtificial Intelligence in Healthcare Application market overthe short as well as long period of time.

A detailed presentation of forecast, trends, and dollar values of globalArtificial Intelligence in Healthcare Application market isoffered. In accordance with the report, theglobal Artificial Intelligence in Healthcare Application market isprojected to expand at a CAGR of35%over the period of forecast.

Market Insight, Drivers, Restraints& Opportunity of the Market:

One of the greatest challenges in the healthcare arena is huge healthcare data and it is impossible to handle all of these data for medical personnel. Here comes the opportunity of artificial intelligence (AI) in healthcare field.

In simple words, AI is an area where computer or computer controlled machines can work like human beings. It increases the capability of healthcare practitioners to understand the daily patterns and requirements of people they are treating, and provide better service, guidance and supports for staying healthy.

The global Artificial Intelligence in Healthcare Application market is primarily driven by the growing demand of large and complex data set, emerging preference of healthcare cost cutting, and requirements of healthcare services between healthcare providers and the patients. For instance, IBM Watson is assisting healthcare organization by applying cognitive technology to unearth huge health data and power diagnosis.

In addition, this product is able to scrutinize and stock medical information, resources, case studies, medical discussions etc which is comparatively faster than any medical practitioner. Conversely, the use of AI in healthcare system in developing countries such as Latin America and Middle East and Africa is still not prominent due to the less awareness of AI in healthcare sector.

In addition, risk of data hacking, stringent regulatory standards across several verticals may restrain the growth of the global Artificial Intelligence in Healthcare Application market in coming future. However, new product developments, and strategic collaborations among key players may provide the global Artificial Intelligence in Healthcare Application market an opportunity to propel during the forecast period.

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In terms of technology, the market is classified into machine learning, natural language processing, context-aware computing, and computer vision. By application, the global market is categorized into patient data and risk analysis, hospital management, medical imaging, drug discovery, patient monitoring, and others.

In terms of end-user, the global market is classified into healthcare service providers, healthcare payors, patients, healthcare companies and others. By Geography, the global Artificial Intelligence in Healthcare Application market has been divided into North America (the U.S., Canada), Latin America (Brazil, Mexico, Argentina and other countries), Europe (Germany, France, the U.K., Spain, Italy, Russia, and other countries), Asia Pacific (India, Japan, China, Australia and New Zealand and other countries), Middle East and Africa (GCC, South Africa, Israel and Other countries).

Profiling of Market Players:

This business intelligence report offers profiling of reputed companies that are operating in the market. Companies such as IBM, Google, Microsoft, GE, Siemens, Medtronic, Amazon.com, Inc, Nvidia and others have been profiled into detail so as to offer a glimpse of the market leaders.

Moreover, parameters such as Artificial Intelligence in Healthcare Application related investment & spending and developments by major players of the market are tracked in this global report.

Report Highlights:

In-depth analysis of the micro and macro indicators, market trends, and forecasts of demand is offered by this business intelligence report. Furthermore, the report offers a vivid picture of the factors that are steering and restraining the growth of this market across all geographical segments.

In addition to that, IGR-Growth Matrix analysis is also provided in the report so as to share insight of the investment areas that new or existing market players can take into consideration. Various analytical tools such as DRO analysis, Porters five forces analysis has been used in this report to present a clear picture of the market.

The study focuses on the present market trends and provides market forecast from the year 2017-2027. Emerging trends that would shape the market demand in the years to come have been highlighted in this report.

A competitive analysis in each of the geographical segments gives an insight into market share of the global players.

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This study offers comprehensive yet detailed analysis of theArtificial Intelligence in Healthcare Application market, size of the market (US$ Mn), and Compound Annual Growth Rate (CAGR (%)) for the period of forecast: 2019 2027, taking into account 2018 as the base year

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This market intelligence report also offers pivotal insights about various market opportunities, restraints, drivers, launch of new products, competitive market strategies of leading market players, emerging market trends, and regional outlook

Profiling of key market players in the worldArtificial Intelligence in Healthcare Application marketis done by taking into account various parameters such as company strategies, distribution strategies, product portfolio, financial performance, key developments, geographical presence, and company overview

Leading market players covered this report comprise names suchIBM, Google, Microsoft, GE, Siemens, Medtronic, Amazon.com, Inc, Nvidia, andamong others

The data of this report would allow management authorities and marketers of companies alike to take informed decision when it comes to launch of products, government initiatives, marketing tactics and expansion, and technical up gradation

The world market forArtificial Intelligence in Healthcare Application catersto the needs of various stakeholders pertaining to this industry, namely suppliers, manufacturers, investors, and distributors forArtificial Intelligence in Healthcare Application market.The research also caters to the rising needs of consulting and research firms, financial analysts, and new market entrants

Research methodologies that have been adopted for the purpose of this study have been clearly elaborated so as to facilitate better understanding of the reports

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Ample number of examples and case studies have been taken into consideration before coming to a conclusion

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Current research: Artificial Intelligence in Healthcare Application Market size, status and growth outlook 2027 - WhaTech Technology and Markets News

Mphasis and QEDIT Partner to Offer Privacy-Enhancing Technology Solutions on Blockchain to Enterprises – PRNewswire

NEW YORK, Jan. 23, 2020 /PRNewswire/ -- Mphasis(BSE: 526299; NSE: MPHASIS), an Information Technology (IT) solutions provider specializing in cloud and cognitive services, today announced its partnership with Israeli-based QEDIT, an enterprise solution provider that uses Privacy-Enhancing Technology and Zero-Knowledge Proof (ZKP) cryptography to help companies transact and leverage their business data in a privacy-compliant manner. Under this partnership, the two entities will co-innovate and develop ZKP solutions to enable enterprises to fight fraud, verify identities, and uphold compliance with local data privacy regulations. All this while preserving full control over proprietary and confidential information.

Blockchain is structured in a way that anyone with access to a blockchain transaction can view data provided across all nodes. This inherent principle of transparency is an obstacle for companies that wish to gain efficiencies using a shared ledger, but simultaneously need to protect confidential transactional details. QEDIT's Private Asset Transfer solutionemploys ZKPs, a cryptographic algorithm that enables Party A to share the proof of knowledge with Party B without sharing the underlying data itself.

This technique can be leveraged by Mphasis' clients in regulated industries, especially Financial Services. QEDIT's solution can be integrated into large application projects for Mphasis' Financial Services clients. ZKP solutions are slated to demand techniques that secure information further on blockchain and Mphasis believes ZKP will become that horizontal layer of security for digital identification.

"Blockchain is a critical technology that enterprises have been leveraging strategically; Mphasis continues to bring innovative solutions to customers from both within the organization as well as from the partner and start-up ecosystem," said Dinesh Venugopal, President - Mphasis Direct and Digital. "Through our collaboration with QEDIT, we aim to offer next-generation security applications on blockchain to our clients that enables them to authenticate asset transfers on a shared ledger without revealing any underlying, confidential, transactional information."

"Teaming up with Mphasis presents a phenomenal opportunity to advance a new category of technology based on cryptographically secure, privacy-enhancing techniques," said Jonathan Rouach, CEO and Co-Founder of QEDIT. "Together with Mphasis, we can accelerate our efforts to deliver innovative solutions that facilitate blockchain adoption and provide secure ways for companies to harness the full value of their data, without requiring them to expose or share private information. QEDIT's co-development collaboration with Mphasis was established in conjunction with the Consulate General of Israel to South India," he added.

Mphasis serves marquee customers across the globe including 6 top global banks, 11 out of 15 top mortgage lenders, and 3 top global insurance companies. Mphasis' global footprint will enable QEDIT to reach a broad array of industries ranging from trade finance, supply chain, payments, and insurance. Together, QEDIT and Mphasis will identify relevant use cases and tailor-design solutions that employ QEDIT's technology to solve core business problems.

About Sparkle Innovation EcosystemThe Sparkle Innovation Ecosystem is a conduit between enterprises, both legacy as well as digitally native and disruptive start-ups. It 'Applies Next' in the latest technologies by innovating bespoke custom-built hyper-personalized solutions and prototypes for Mphasis' clients.

About Mphasis Mphasis(BSE: 526299; NSE: MPHASIS) applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in Mphasis' Front2Back Transformation approach. Front2Back uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2 TM=1) digital experience to clients and their end customers. Mphasis' Service Transformation approach helps 'shrink the core' through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis' core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients. Click hereto know more.

About QEDITQEDIT helps enterprises maximize the value of their data without sharing it through the use of privacy-enhancing technologies (PET). Founded by a world-class team of accomplished entrepreneurs, researchers, and developers, QEDIT enables companies to transact and leverage data with third parties, while preserving full control over confidential information and upholding compliance with local data privacy regulations. Through the use of Zero-Knowledge Proof (ZKP) cryptography and other cutting-edge, cryptographically secure techniques, QEDIT's suite of enterprise solutions removes data-driven barriers to industry-wide privacy challenges in the fields of finance, supply chain, insurance, and human resources. For more information, visithttps://qed-it.com.

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Mphasis and QEDIT Partner to Offer Privacy-Enhancing Technology Solutions on Blockchain to Enterprises - PRNewswire

Quantum Cryptography in BFSI Market Growth & Demand by 2020-2027 | Anhui Qasky Science and Technology Limited Liability Company – VOICE of…

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Best open source software of 2020: free software for home …

Open source software has long been the powerhouse behind the development of the internet, not least LAMP configuration servers that run on Linux, Apache, MySQL, and PHP.

While there is a variety of free software programs out there, many are proprietary, meaning that the development company owns the code. With open source software, anyone can add to, edit, and adapt the source code as they see fit.

This is one of the key strengths of open source software, because not only does it invite close scrutiny from a wide range of parties with different interests and skill sets, it also invites wide ranging collaboration.

Because of this, many open source projects have dedicated communities behind them, with developers adding to and evolving features along new coding lines, directions, and standards.

Of course, where open source projects become particularly big their communities can end up splitting into different groups working in different directions, a process known as forking. Perhaps the most famous example of this is the Linux operating system, which now comes in many flavors or distros.

Either way, despite the power of proprietary software programs, platforms, and operating systems, open source software remain key in the modern world. Even better, open source can offer users free alternatives to paid-for programs without necessarily sacrificing on features, and you can even customize the software to suit you.

Here then is the best in open source software by type, to show some of the range of open source software opportunities.

There's no need to pay for Office with this open source alternative

Full feature range

Fully compatible with MS files

Lots of templates

Not cloud-based

LibreOffice is an office software suite that is available for Windows, Mac, or Linux, offering documents, spreadsheets, presentations, and databases.

While Microsoft Office remains the most popular application for office use, it's pricing model hasn't always been the most accessible. Worse still is that alternative office suites such as Open Office can struggle to preserve formatting from Microsoft files, and others such as Google's G Suite just isn't so feature-rich.

LibreOffice manages to counter both frustrations by being not only fully compatible with Microsoft file formats, but also offers a feature-packed full service office suite that can do most anything that existing ones can offer.

The one drawback is that it's software to download rather than run in the cloud, but there are hundreds of templates available to use and edit.

LibreOffices huge community of contributors have compiled a brilliant collection of support materials, including a forum and even live chat if you need a hand.

Our favorite open source photo editor, packed with powerful tools

Supports layers

Advanced editing

Many plugins

Powerful and flexible, open source image editor GIMP is as close to Adobe Photoshop as you can get without opening your wallet. It supports layers, and is packed with advanced tools for enhancing your pictures or creating new ones from scratch.

You can adjust every aspect of your pictures appearance manually, or use the dozens of customizable filters and effects to achieve amazing results with just a few clicks. GIMP comes with a huge array of user-created plugins pre-installed, and adding more is a piece of cake.

If you dont need the power of GIMP and prefer a simpler interface, check out Paint.NET another superb open source photo editor thats a little lighter on features, but easier to master.

An open source media player than can handle virtually any file format

Works with almost all audio formats

Optimize playback

Streams internet radio

VR audio

VLC Media Player is one of the worlds most popular free media players, and for good reason it can handle just about any audio file, video file, or media stream you can throw at it, without the need to mess around installing additional codecs. VLC Media Player gives you an amazing degree of control over playback, letting you optimize video and audio for your specific hardware configuration.

VLC Media Player is ideal for streaming podcasts, as well as internet radio stations like Last.fm and TuneIn Radio. Theres also a superb archive of extensions and skins, and the WYSIWYG Skin Editor lets you create your own custom designs.

The latest addition to VLC is 360-degree playback, which lets you enjoy immersive videos with a VR headset, and more exciting developments are on the horizon to keep pace with new video technology.

Great for new users, and an excellent substitute for Windows Movie Maker

Power features

Layered filters

Drag and drop

Basic interface

If youre looking for a great open source video editor, give Shotcut a whirl. It might look a little stark at first, but add some of the optional toolbars and youll soon have its most powerful and useful features your your fingertips.

Some of its best tools include quick filters for audio and video (which are non-destructive and can be layered to achieve different effects), advanced white balancing, wipes and other transitions, color grading, click-and-drag import, and straightforward trimming and compositing of clips.

The perfect tool for recording and editing podcasts and music

Wide range of features

Lots of extensions

Noise filtering

Even if you have the ready cash for an audio editor, you might choose to stick with open source alternative Audacity. It has almost all the tools you need for recording and refining sound files, and any features it lacks can be plugged with its extensive catalog of extensions.

Audacity is the tool of choice for many podcasters, musicians and audiobook narrators thanks to its professional quality results. You can use it to combine clips, copy and paste sections of audio, remove noise and other unwanted noises, strip vocals from songs, alter frequencies, and apply effects like echo and reverb.

An powerful, fully customizable browser with a plugin for every purpose

Lots of plugins

Private browsing

Memory hog

The browser wars show no sign of ending, but Firefox's open source heritage makes it incredibly flexible. Its main appeal is its collection of extensions. With thousands of plug-ins available at the click of a mouse, its easy to transform Firefox into your perfect browser.

Firefox is updated every five to eight weeks, and you can get an early taste of the latest features by installing the beta or taking part in Firefox Test Pilot a way to sample experimental tools that might be incorporated into future releases.

Firefoxs source code forms the basis of many specialist projects, including the security-focused Tor Browser and speed-centric Waterfox, which is designed with power users in mind.

However, despite Firefox's rise in popularity, the browser has traditionally struggled to handle Flash, resulting in Firefox becoming unstable and consuming processor resources or simply shutting down unexpectedly.

A free and open source alternative to Microsoft Outlook

Lots of features

Additional plugins

Not cloud-based

If you have multiple email accounts even if theyre with the same provider open source email client Mozilla Thunderbird will save you time and hassle flicking between browser tabs and logins. Like Firefox, Thunderbird is an open source project published by the Mozilla Foundation, and is almost infinitely adaptable.

Thunderbird's standard features include an RSS reader and the ability to link to files too large to send as attachments, and its optional extras include weather forecasts and Google app tabs. Other plugins include privacy protection and enhanced security.

However, the one negative is that there is no cloud version so emails have to be stored on your PC, so take care to keep these backed up.

Generate strong passwords for accounts and store them in a secure vault

Easy to use

Strong encryption

Portable program

Theres no shortage of free password managers, but KeePass Password Safe is our favorite open source option. Its not flashy, but its packed with all the tools and features you could want, including AES encryption of your entire database of login details (not just the passwords themselves), two-factor authentication via both a master password and key file, and secure random password generation.

KeePass is tiny, and because its a portable program you can carry it on a USB stick, and thanks to an extensive library of plug-ins, its easy to integrate with your preferred browser and cloud storage provider.

The open source FTP software client

Easy to use

Drag and drop

Fully featured

If you run your own website, the chances are you'll need FTP software to upload files directly to your server. While there are some good existing FTP clients out there, FileZillais probably the best free version you can use.

It does all that you need to with a file upload client, which remains relatively simple anyway. On the left pane, FileZilla presents you with a view of your folder selection (from Windows Explorer, if using Windows) where you can ensure you select your folder of files to upload - on the right, the pane shows your location on the server, which will be a similar-looking file tree.

You just need to ensure you click through the folders on the right pane to the place where you want to upload your files, such as within thePublic_HTML folder on many Linux servers. Then it's simply a matter of using drag and drop to move your files to upload from the left pane and into the right pane.

Simple, easy, and usually very painless. The main stumbling block for most first-time users is not selecting the correct files to upload, or especially the correct locations.

If you need to CHMOD permissions for files, that's as easy as a right-click on any files or folders you need to apply them to, and that's about it.

The open source operating system

Increasingly accessible

Good features

Strong security

Overwhelming choice of distros

It used to be the case that Linuxwas solely the preserve of geeks and code junkies - it made little attempt to appeal to a wide user base. Those days are long since over, and varieties of Linux have made a big effort to be a lot more user-friendly for people with little if anything coding knowledge, and present a serious rival to Windows and Apple Mac iOS as alternatives for running your desktop.

These efforts have helped to edge Linux toward the mainstream, as underlined by computer giant Dell moving to sell Linux desktops and laptops directly to the public. Better still, Windows remains the target of choice for hackers, so Linux presents itself as a more secure alternative, so long as you keep updates fresh.

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