What technologies are used for developing AI skills?

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Here is a general plan for the Artificial Intelligence course provided at Great Learning.

AI courses at Great Learning provide you with an overview of the current implementation scenario in various industries. With an in-depth introduction to artificial intelligence, you can easily master the basics for a better future in the course.

In our course to learn AI, we start with basic arithmetic & variables that help you with your numbers game. We introduce you to proper handling technique for data structures like the Python lists, Pandas DataFrames, or the Numpy Arrays.

The AI online course is will familiarise you with mathematical concepts applicable while studying machine learning.

If you are looking for the best Artificial Intelligence course in India, Great Learning is just what you need. With our course to learn artificial intelligence, you also get to investigate the applied implications of data methods designed for the ethical and legal work in AI and Analytics.

Learn essential Data Science skills with our artificial intelligence course in India. Our experienced lecturers help you obtain the essential knowledge along with hands-on experience by covering the research and science aspects in data science while using the Python language.

Our Artificial Intelligence online course had been designed to cater to everything that is necessary for proper AI development and will help you acquire hands-on experience for deriving and building proper insights from the models for machine learning.

Deep Learning has been dubbed as the basic enabler for AI-based technologies that are being developed at a rate faster than ever all across the world. With our artificial intelligence online course, you get to learn about the various ways to build & derive proper insights from the models created using the Python Jupyter notebooks that run on the Linux or Windows machine, or a virtual machine that operates on Azure.

With our Artificial Intelligence course, you will get an introduction to the world based on reinforcement learning. In your journey to learn Artificial Intelligence, you will be introduced to the Project Malmo which is a platform dedicated to experimentation with Artificial Intelligence while researching the different bases of reinforcement learning.

Great Learning with its best artificial intelligence course also caters you the best-in-class teaching techniques for computer vision & image analysis for the applied AI course. Another option in Great Learnings best artificial intelligence course is the fact that you can pick to learn the variants of Speech Recognition Systems. Another AI technology you get to learn with Great Learning applied AI course is the NLP or Natural Language Processing. In the applied AI course provided by Great Learning, you will receive a complete and thorough overview of NLP and different ways to use the classic methods for Machine Learning.

. In order to validate the knowledge and skills you have acquired over time with our applied AI course, we will test your skills with professional tests for AI and a test that will evaluate your real-world AI understanding capabilities. At the end of this final phase for artificial intelligence course, upon successful completion, you are awarded a certificate that states you have a complete understanding of the crucial elements involved in crafting technology that uses Artificial Intelligence.

Each course catered by Great Learning features a hands-on lab experience that helps you learn as well as apply the highly critical skills from the field of Artificial Intelligence. We also include the assessments the course that requires more than memorization to ensure that you possess a particularly in-depth understanding of recently acquired skills.

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All our courses can be availed online and can be studied at any time online depending on your schedule. Regardless of whether you have plans to spend a few hours every day or use your weekends to get through this course, we have just the right syllabus for all. With a good internet connection and phone/tablet, you can view all our video courses in Artificial Intelligence tutorial. So, get your artificial intelligence certification for PG-Program in Artificial Intelligence at Great Learning without worrying about time constraints.

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The Great Learning Artificial Intelligence Course is suitable for someone who is:

So, wait no more and Apply Now for more information about our Artificial Intelligence course.

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Artificial Intelligence and Machine Learning Course | AI ...

July 07, 2020 -A computer algorithm that leverages artificial intelligence (AI) to automate dual-stain (DS) evaluation improved the accuracy and efficiency of cervical cancer screening compared with Pap cytology, according to a recent study.

Researchers found that all DS strategies achieved equal or better sensitivity for detection of a clinical end point compared to Pap cytology while reducing unnecessary colposcopic referrals.

Specifically, automated DS evaluations reduced overall referral to colposcopy by one-third for the primary automated cutoff of two cells, a 41.9 percent reduction for automated DS evaluations versus a 60.1 percent reduction for cytology.

Automated DS evaluations at a cutoff of two or more cells also had the most favorable ratio of colposcopies per clinical end point detected compared to the least favorable ratio for the current standard, Pap cytology, at 6.8 versus 9.9, respectively.

The algorithm was developed and the study was conducted by investigators at the National Cancer Institute (NCI), part of NIH, in collaboration with Niels Grabe, PhD, and Bernd Lahrmann, PhD, of the Steinbeis Transfer Center for Medical Systems Biology.

The study aimed to uncover if a fully automated dual-stain test could match or exceed the performance of the manual approach. Researchers developed an imaging platform that could determine if any cervical cells were stained for both p16 and Ki-67 after being trained with deep learning, NIH said.

The Biopsy Study included 4,253 women aged 18 years or older who were referred to colposcopy at the University of Oklahoma Health Sciences Center between 2009 and 2011.

Automated evaluation of DS slides dramatically increases the efficiency of cervical cancer screening by substantially reducing unnecessary colposcopies compared with current standards and similarly achieves excellent performance in a simulated fully vaccinated population. Thus, CYTOREADER exceeds human diagnostic accuracy and serves as an example of AI achieving improvements beyond the automation of a human standard, researchers said in the study.

Our results demonstrate how automation and machine learning can transform cervical cancer screening that is currently undergoing major changes. HPV testing for cervical cancer screening is an objective and reliable approach directly linked to the carcinogenic process.

An NIH press release touched on the importance of the study findings.

The biomedical research agency said that in recent years, clinicians have hoped to take advantage of advances in digital imaging and machine learning to improve cervical cancer screening.

But the challenge providers have encountered is identifying which women with positive HPV test results are more likely to have precancerous changes in their cervical cells and, therefore, should have a colonoscopy to examine the cervix and take samples for biopsy or who need immediate treatment.

The current approaches to this care are not ideal, NIH said, because Pap cytology tests are time consuming, not very sensitive, and prone to false-positive findings.

The study showed that the automated tests surpassed the performance of the current standard, Pap cytology, which reduces the number of false positive results and reduces referral to unnecessary colposcopy procedures.

Were excited to show we have a fully automated approach to cervical cancer screening as a follow-up to a positive HPV test that outperformed the standard method in our study, Nicolas Wentzensen, MD, PhD, of NCIs Division of Cancer Epidemiology and Genetics, who led the study, said in the press release.

Based on our results, it could increase the efficiency of cervical cancer screening by finding more precancers and reducing false positives, which has the potential to eliminate a substantial number of unnecessary procedures among HPV-positive women.

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Artificial Intelligence Enhances Cervical Cancer Screenings

When it comes to advancements in artificial intelligence technology, China does have a lead in some places like spying on its own people and using facial recognition technology to identify political dissenters. But those are areas where the U.S. simply isn't pointing its investments in artificial intelligence, said director of the Joint Artificial Intelligence Center. Where it counts, the U.S. leads, he said.

"While it is true that the United States faces formidable technological competitors and challenging strategic environments, the reality is that the United States continues to lead in AI and its most important military applications," said Nand Mulchandani, during a briefing at the Pentagon.

The Joint Artificial Intelligence Center, which stood up in 2018, serves as the official focal point of the department's AI strategy.

China leads in some places, Mulchandani said. "China's military and police authorities undeniably have the world's most advanced capabilities, such as unregulated facial recognition for universal surveillance and control of their domestic population, trained on Chinese video gathered from their systems, and Chinese language text analysis for internet and media censorship."

The U.S. is capable of doing similar things, he said, but doesn't. It's against the law, and it's not in line with American values.

"Our constitution and privacy laws protect the rights of U.S. citizens, and how their data is collected and used," he said. "Therefore, we simply don't invest in building such universal surveillance and censorship systems."

The department does invest in systems that both enhance warfighter capability, for instance, and also help the military protect and serve the United States, including during the COVID-19 pandemic.

The Project Salus effort, for instance, which began in March of this year, puts artificial intelligence to work helping to predict shortages for things like water, medicine and supplies used in the COVID fight, said Mulchandani.

"This product was developed in direct work with [U.S. Northern Command] and the National Guard," he said. "They have obviously a very unique role to play in ensuring that resource shortages ... are harmonized across an area that's dealing with the disaster."

Mulchandani said what the Guard didn't have was predictive analytics on where such shortages might occur, or real-time analytics for supply and demand. Project Salus named for the Roman goddess of safety and well-being fills that role.

"We [now have] roughly about 40 to 50 different data streams coming into project Salus at the data platform layer," he said. "We have another 40 to 45 different AI models that are all running on top of the platform that allow for ... the Northcom operations team ... to actually get predictive analytics on where shortages and things will occur."

As an AI-enabled tool, he said, Project Salus can be used to predict traffic bottlenecks, hotel vacancies and the best military bases to stockpile food during the fallout from a damaging weather event.

As the department pursues joint all-domain command and control, or JADC2, the JAIC is working to build in the needed AI capabilities, Mulchandani.

"JADC2 is ... a collection of platforms that get stitched together and woven together[ effectively into] a platform," Mulchandani said. "The JAIC is spending a lot of time and resources focused on building the AI components on top of JADC2. So if you can imagine a command and control system that is current and the way it's configured today, our job and role is to actually build out the AI components both from a data, AI modeling and then training perspective and then deploying those."

When it comes to AI and weapons, Mulchandani said the department and JAIC are involved there too.

"We do have projects going on under joint warfighting, which are actually going into testing," he said. "They're very tactical-edge AI, is the way I describe it. And that work is going to be tested. It's very promising work. We're very excited about it."

While Mulchandani didn't mention specific projects, he did say that while much of the JAIC's AI work will go into weapons systems, none of those right now are going to be autonomous weapons systems. The concepts of a human-in-the-loop and full human control of weapons, he said, "are still absolutely valid."

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Where it Counts, U.S. Leads in Artificial Intelligence - Department of Defense

A coalition of AI groups is forming to produce a comprehensive data source on the coronavirus pandemic for policymakers and health care leaders.

Why it matters: A torrent of data about COVID-19 is being produced, but unless it can be organized in an accessible format, it will do little good. The new initiative aims to use machine learning and human expertise to produce meaningful insights for an unprecedented situation.

Driving the news: Members of the newly formed Collective and Augmented Intelligence Against COVID-19 (CAIAC) announced today include the Future Society, a non-profit think tank from the Harvard Kennedy School of Government, as well as the Stanford Institute for Human-Centered Artificial Intelligence and representatives from UN agencies.

What they're saying: "With COVID-19 we realized there are tons of data available, but there was little global coordination on how to share it," says Cyrus Hodes, chair of the AI Initiative at the Future Society and a member of the CAIAC steering committee. "That's why we created this coalition to put together a sense-making platform for policymakers to use."

Context: COVID-19 has produced a flood of statistics, data and scientific publications more than 35,000 of the latter as of July 8. But raw information is of little use unless it can be organized and analyzed in a way that can support concrete policies.

The bottom line: Humans aren't exactly doing a great job beating COVID-19, so we need all the machine help we can get.

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A new AI tool to fight the coronavirus - Axios

To appraise the trends of Artificial Intelligence (AI) 2020, we have to recall that 2018 and 2019 saw a large number of platforms, applications, and devices that depend on artificial intelligence and machine learning.

Such technology patterns laid huge implications on programming and the Internet business. Moreover, its impacts on fields like healthcare services, assembling, manufacturing, agriculture, and automobile are valuable.

The advancement of ML and AI-related advancements will have a long journey in 2020, or considerably further.

As the hardware and skill expected to deploy AI become less expensive and progressively accessible, we will begin to see it utilized in an increasing number of tools, gadgets, and devices. In 2019 were already used to running applications that give us AI-fueled predictions on our PCs, phones and watches.

As the following decade draws near and the expense of hardware and software keeps on falling, AI devices will progressively be embedded into our vehicles, household appliances, and workplace tools. Augmented by innovation, for example, augmented reality displays, and paradigms like the cloud and Internet of Things, this year we will see an ever increasing number of devices of each shape and size beginning to think and learn for themselves.

Artificial intelligence for digital marketing takes into account uncommon change via social media. It forecasts all day, every day chatbots, analyzes data and patterns, oversees custom feeds to produce content, looks for content points, makes custom based personalized content and makes recommendations when required.

This trend is driven by the success of web giants like Amazon, Alibaba, and Google, and their capacity to provide personalized experiences and recommendations. Artificial intelligence permits suppliers of products and enterprises to rapidly and precisely project a 360-degree view on clients in real-time as they cooperate through online portals and mobile applications, rapidly figuring out how their predictions can accommodate our needs and wants with ever-increasing accuracy.

Similarly, as pizza delivery companies like Dominos will realize when we are well on the way to want pizza, and ensure the Order Now button is before us at the right time, each other industry will turn out solutions planned for offering personalized customer experiences at scale.

The AI-based Deep Learning innovation detects signs of the perplexing five finger movements in real-time. The sensor fix is joined to the clients wrist. This single stranded electronic skin sensor tracks human development from a distance in real-time with a virtual 3D hand that reflects the original movement.

Maybe considerably more unsettlingly, the rollout of facial recognition technology is just prone to escalate as we move into the next decade. Not simply in China (where the government is taking a look at methods of making facial recognition obligatory for accessing services like communication networks and public transport) yet around the globe. Enterprises and governments are progressively putting resources into these techniques for telling what our identity is and deciphering our movement and behaviour.

Theres some pushback against this this year, San Francisco turned into the first significant city to boycott the utilization of facial recognition technology by the police and civil organizations, and others are probably going to follow in 2020. However, the topic of whether individuals will at last start to acknowledge this interruption into their lives, in return for the increased security and convenience it will bring, is probably going to be a hotly discussed subject of this year.

As the AI system is surmising, it can intensify the carbon impression. A variant range of data sets can be utilized from cell phone location information to estimate electrical load. This engineering can consider information from the geographical area and beat conventional forecasting methods by more than 2 times.

A few things, even in 2020, are likely best left to people. Any individual who has seen the present state-of-the-art in AI-generated music, poetry or storytelling is probably going to concur that the most refined machines despite everything have some best approach until their output will be as charming to us as the best that humans can produce. Notwithstanding, the impact of AI on entertainment media is probably going to increase. This year we saw Robert De Niro de-aged before our eyes with the help of AI, in Martin Scorseses epic The Irishman, and the utilization of AI in making brand new visual effects and trickery is probably going to turn out to be progressively normal.

In video games, AI will keep on being utilized to create challenging, human-like opponents for players to compete against, as well as to powerfully alter gameplay and difficulty with the goal that games can keep on offering a convincing challenge for gamers of all expertise levels. And keeping in mind that totally AI-produced music may not be for everyone, where AI exceeds expectations is in making dynamic soundscapes, consider brilliant playlists on services like Spotify or Google Music that match tunes and tempo to the temperament and pace of our everyday lives.

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Latest Trends in the Field of Artificial Intelligence - Analytics Insight

SAN FRANCISCO, July 09, 2020 (GLOBE NEWSWIRE) -- Informa Tech media brands, InformationWeek and ITPro Today, today announced findings from their latest research survey the 2020 State of Artificial Intelligence. The team surveyed technology decision makers across North American companies to uncover the ways organizations are approaching and implementing emerging technologies specifically artificial intelligence (AI) and the Internet of Things (IoT) in order to grow and get ahead of the competition.

Key Findings in the 2020 State of Artificial Intelligence

To download a complimentary copy of The 2020 State of Artificial Intelligence, click here.

Media interested in receiving a copy of the report or the State of AI infographic should contact Briana Pontremoli at Briana.Pontremoli@informa.com.

2020 State of Artificial Intelligence Report MethodologyThe survey collected opinions from nearly 300 business professionals at companies engaged with AI-related projects. Nearly 90% of respondents have an IT or technology-related job function, such as application development, security, Internet of Things, networking, cloud, or engineering. Just over half of respondents work in a management capacity, with titles such as C-level executive, director, manager, or vice president. One half are from large companies with 1,000 or more employees, and 20% work at companies with 100 to 999 employees.

About Informa TechInforma Tech is a market leading provider of integrated research, media, training and events to the global Technology community. We're an international business of more than 600 colleagues, operating in more than 20 markets. Our aim is to inspire the Technology community to design, build and run a better digital world through research, media, training and event brands that inform, educate and connect. Over 7,000 professionals subscribe to our research, with 225,000 delegates attending our events and over 18,000 students participating in our training programs each year, and nearly 4 million people visiting our digital communities each month. Learn more about Informa Tech.

Media Contact:Briana PontremoliInforma Tech PRbriana.pontremoli@informa.com

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New Research Reveals Adoption and Implementation of Artificial Intelligence in the Enterprise - GlobeNewswire

Once believed to be strictly the purview of science fiction novels, artificial intelligence (AI) is now everywhere we look. As the driving force behind everything from marketing algorithms and banking platforms to surgical robots and space exploration, AI is playing an increasingly important role in our lives whether we realize it or not. Our reliance on these exciting new technologies is only going to become more pronounced in the coming years.

So it should come as no surprise that the best and most lucrative careers of the future will have at least something to do with AIeven if your job doesn't require you to wear a white lab coat every day.

The good news is that AI isn't actually as scary as it sounds, and it's possible to gain a thorough understanding of the field through instruction that's both affordable and easy to understand as you acquire one of LinkedIn's most highly-rated skills.

TheUltimate Artificial Intelligence Scientist Certification Bundle comes with four courses and over 87 hours of content that will get you up to speed with the various methodologies, platforms and programming languages that AI professionals use every day, and it's currently available for 95% off at just $34.99.

If you're completely new to the fascinating world of AI, start with the Machine Learning A-Z course. This top-rated module comes with 40 hours of content that will walk you through the technologies that create high-powered algorithms. This course will even teach you how to create algorithms of your own that you can use in a variety of analytical frameworks.

From there, you'll be ready to tackle more complex topics and themes in the Deep Learning A-Z course. With over 30,000 positive ratings from over 200,000 happy students, this extensive training will teach you how neural networks are formed, how to apply self-organizing maps that can be used to predict future behavior, and more.

This training bundle also comes with a course that's dedicated to teaching you about Python --one of the world's most popular and versatile programming languages used in multiple industries. Even if you've never written a line of code before in your life, you'll complete this module having learned how to build AI-driven apps with this powerful coding tool.

Finally, there's the top-rated Tensorflow course, which will teach you how to bring all of this new knowledge together in order to create AI solutions to everyday problems, how to maintain and develop your own neural networks, and more.

You don't need to spend an exorbitant amount of time or money in order to get the skills and tools you need to embrace the AI revolution. Usually priced at nearly $800, the Ultimate Artificial Intelligence Scientist Certification Bundle will give you a head start over the competition for just $34.99-- 95% off for a limited time.

Prices are subject to change.

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Break into artificial intelligence with this four-course online training for $35 - ZDNet

LONDON--(BUSINESS WIRE)--Technavio has been monitoring the artificial intelligence platforms market and it is poised to grow by USD 12.51 billion during 2020-2024, progressing at a CAGR of over 33% during the forecast period. The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment.

Technavio suggests three forecast scenarios (optimistic, probable, and pessimistic) considering the impact of COVID-19. Please Request Latest Free Sample Report on COVID-19 Impact

The market is concentrated, and the degree of concentration will accelerate during the forecast period. Alibaba Group Holding Ltd., Alphabet Inc., Amazon Web Services Inc., International Business Machines Corp., Microsoft Corp., Palantir Technologies Inc., Salesforce.com Inc., SAP SE, SAS Institute Inc., and Tata Consultancy Services Ltd. are some of the major market participants. To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

The rise in demand for AI-based solutions have been instrumental in driving the growth of the market. However, the rise in data privacy issues might hamper market growth.

Artificial Intelligence Platforms Market 2020-2024: Segmentation

Artificial Intelligence Platforms Market is segmented as below:

To learn more about the global trends impacting the future of market research, download a free sample: https://www.technavio.com/talk-to-us?report=IRTNTR44235

Artificial Intelligence Platforms Market 2020-2024: Scope

Technavio presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources. Our artificial intelligence platforms market report covers the following areas:

This study identifies investments in AI start-ups as one of the prime reasons driving the artificial intelligence platforms market growth during the next few years.

Artificial Intelligence Platforms Market 2020-2024: Vendor Analysis

We provide a detailed analysis of around 25 vendors operating in the artificial intelligence platforms market, including some of the vendors such as Alibaba Group Holding Ltd., Alphabet Inc., Amazon Web Services Inc., International Business Machines Corp., Microsoft Corp., Palantir Technologies Inc., Salesforce.com Inc., SAP SE, SAS Institute Inc., and Tata Consultancy Services Ltd. Backed with competitive intelligence and benchmarking, our research reports on the artificial intelligence platforms market are designed to provide entry support, customer profile and M&As as well as go-to-market strategy support.

Register for a free trial today and gain instant access to 17,000+ market research reports.

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Artificial Intelligence Platforms Market 2020-2024: Key Highlights

Table Of Contents:

Executive Summary

Market Landscape

Market Sizing

Five Forces Analysis

Market Segmentation by Deployment

Customer Landscape

Geographic Landscape

Market Drivers Demand led growth

Market Challenges

Market Trends

Vendor Landscape

Vendor Analysis

Appendix

About Us

Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavios report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavios comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

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COVID-19 Impact & Recovery Analysis - Artificial Intelligence Platforms Market 2020-2024 | Rise in Demand for AI-based Solutions to Boost Growth |...

KRAKW, Poland and AUCKLAND, New Zealand, July 9, 2020 /PRNewswire/ --Ardigenand CVC announced that they entered a research collaboration aimed at the development of SARS-CoV-2 vaccine.

Ardigen's neoantigen prediction platform called "ArdImmune Vax" employs state of the art bioinformatics and Artificial Intelligence to identify an optimal set of neoantigens as targets for cancer vaccines or adoptive cell therapies. This technology is also very well suited for the design of vaccines for infectious diseases. The core of the platform is a proprietary algorithm capable of predicting neoantigens' probability to elicit an immune response.

This joint research enables CVC to benefit from Ardigen's vaccine design technology by selecting which viral epitopes are the most suitable to boost cellular immune response. Complementing humoral and cellular response in the vaccine design is expected to result in 2 strong lines of defense against the coronavirus. The approach is likely to be more effective than vaccines designed to create antibodies alone.

"We are thrilled to help global efforts to mitigate COVID-19 applying our breakthrough technology powered by Artificial Intelligence, reducing the vaccine design phase to a few weeks," comments Janusz Homa, CEO of Ardigen.

Robert Feldman, CEO and Co-founder of CVC, adds: "CVC is excited to be working with Ardigen who are at the forefront of T-cell epitope design. The collaboration gives us the best chance of our product inducing an effective T-cell response against SARS-Cov-2."

About Ardigen

Ardigenis harnessing advanced Artificial Intelligence methods for novel precision medicine. The company accelerates therapy development by decoding microbiome, designing immunity and providing digital drug discovery services. Ardigen's team is rooted in biology and holds deep expertise in bioinformatics, machine learning, and software engineering. The company's in-house datasets together with platforms for immunology, biomarker, and microbiome research can empower effective pharmaceuticals development.

About CVC

New Zealand based CVC (COVID-19 Vaccine Corporation) is focused on creating an effective vaccine for the SARS-CoV-2 virus which has caused the recent pandemic. The highly scalable biobead technology that will be used in the vaccine production was developed by Polybatics, a company spun off from Massey University in 2009 in New Zealand. The CVC founders bring to the table 30 years of experience in the biotechnology industry and in pharmaceutical manufacturing. Read more at cvc.nz.

Logo - https://mma.prnewswire.com/media/969153/Ardigen_SA_Logo.jpg

Contact:Barbara Wyroba| Ardigen S.A.+48-539-730-118[emailprotected]

SOURCE Ardigen

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Ardigen Enters Into Research Collaboration With CVC to Apply Artificial Intelligence for Identification of T-cell Targets - PRNewswire

MUMBAI :Artificial intelligence (AI) will not only help to resolve complex global problems but can enable businesses make better decisions on a day-to-day basis if applied well, said panelists at the Mint Pivot or Perish webinar on automation in the new normal post covid pandemic.

AI can be embedded into our day-to-day applications so the human intellect takes better decisions based on the most relevant data to the particular request basis past or similar requests. This is a growth opportunity for businesses now," said Dulles Krishnan, area vice president - Salesforce.

For example, during a service request, offering the employee insights about the customers preferences or similar examples of previous customers can help them efficiently up sell solutions and create more revenue or service opportunities.

On one end of automation is work that is high volume and repetitive. More usage of automation is now moving to low volume but unique work which requires solutions. That is where bots and AI solutions co-exist with humans," said Kamal Singhani, managing partner, IBM India.

Sangeeta Gupta, VP and chief strategy officer, Nasscom, said while AI can augment productivity and innovation, it can only work in well-defined use cases though it needs good quality data to work with.

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Artificial Intelligence will aid in better decision-making capacity - Livemint