Ajay Thakur
Healthcare is one of the main sectors that is being transformed by AI. Medical imaging, computer vision, deep learning has helped the doctors in the diagnosis of the disease at an early stage. This has improved the life expectancy of the patients also. Further research in artificial intelligence is expanding the scope of improvement of the healthcare. There are many artificial intelligence companies that are making better software solutions for the healthcare.
Webtunix AI is an artificial intelligence company in India that has provided many solutions in the field of healthcare. Webtunix AI has provided solutions in healthcare diagnosis system. AI Vaid is an artificial intelligence application built by Webtunix AI that can diagnose the disease of the patient from the symptoms. AI Vaid interface asks numerous questions to the patients on the basis of which it can predict the disease of the patient. It can also recommend the specialty doctors to the patients. At the end of the diagnosis, it generates a report that can be downloaded or forwarded to the doctor.
AICure is an artificial intelligence company that is providing solutions for the healthcare domain. This company make use of visual recognition platform. The technologies use in visual recognition platform are co Top 10 AI Companies Working for Healthcare mputer vision and deep learning. This makes sure that the patients that are given the treatment are taking medications or not. According to the CEO of AiCure, Adam Hanina, “20-30 percent of medical trials fail because patients are not taking medication properly.” The drugs will not show any improvement because the patients are not following the protocol. Artificial intelligence can diagnose the reports of the patients and is able to detect the effect of the medication on the patient’s health. This will revolutionize the healthcare like never before.
A lot of tests, medical reports, and other procedures makes the healthcare heavy on the budget. The cost of healthcare in the US alone is 3.3 billion dollar which is a big amount. Clearview diagnosis has come up with the solution of the problem. Clearview diagnostics software tool can understand the possible disease from the symptoms of the patient. This software also makes the better recommendations that can help in avoiding the unnecessary procedures and medical tests.
The first step in providing the better diagnostics is personalizing the treatment. Babylon Health has provided solutions in this direction. It provides a platform where patients can get 24/7 support from the real-time doctors through a smartphone. Patients can ask their queries, medications, and other queries using this software tool. This has improved the patient care as \the patient gets more personal treatment from the doctors.
Paige.AI or Pathology AI Guidance Engine is merging artificial intelligence ad pathology for the better treatment of cancer. This startup has got access to MSK’s intellectual property. MSK has also provided PaigeAI the access of its 25 billion pathological slides. The slide viewer implemented by PaigeAI performs various functions. Some of the functions are microscope vendor agnostics, faster image viewing, and device independent.
Prognos is a New York based artificial intelligence software company that is providing solutions in the healthcare. The main aim of Prognos is to detect the disease at an early stage and make the treatment-related decisions faster. Prognos has access to more than 15 billion medical records. It has the track record of 180 million people and diagnosis more than 50 diseases is possible using Prognos.
Univfy is AI software company located in California. The main aim of Univfy is to increase the chances in women of conceiving a baby through Vitro Fertilization. This can accurately predict the chances of success. This software makes use of machine learning algorithm to make predictions from the past data stats of the patient. This has helped in improving the chances of conceiving to more than 50 percent which is a great improvement.
Baby labs. Inc is a San Francisco based startup. Baby Labs, Inc provides artificial intelligence services like cardiovascular imaging that can help in the diagnosis of heart diseases. Cardiovascular generates data that is difficult to understand. Baby Labs, Inc provides software tools that are helping the doctors to understand the data in a better way.
Butterfly network is an artificial intelligence software company that is providing robust solutions to the healthcare. Butterfly network creates a medical imaging device and uses the applications of deep learning. It is basically a portable device that is helping the patients in the remote areas where the diagnosis is difficult to carry out.
Artificial intelligence applications can improve the current situation of healthcare in many ways. Deepmind Health is providing solutions in Computer vision and imaging that are helping in the diagnosis of disease early stages. This can speed up the process of the patient treatment and the patient. This improves the life expectancy of the patient. This tool can reduce the workload of the radiologists which allows them to focus more on their patients and performing more difficult tasks. Radiologists have to interpret the image for three to four hours a day. AI software assists the radiologists in performing this task.
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Technological advancement in Artificial Intelligence, a rather complex but seamlessly interesting domain – has proved to be a rising factor among a number of industries, and Finance is one of them. AI started taking over the the Finance industry in the form of waves which only grew larger to turn into tides, the AI Technology used now a days includes providing value-based business strategies, improving customer experiences, increasing revenue generation reduction of costs.
AI has gained a strong foothold in an organizations journey of achieving business success. The top-level management is now viewing AI as a tool to assess business areas and to achieve substantial benefit through its advanced analytics and using it’s powers to achieve the desired business outcomes.
Take a detailed look at how the use of AI in Finance can help turn traditional businesses into a stand out enterprise.
The Healthcare Information and Management Systems Society (HIMSS). Is a global leader and advisory organization, HIMSS has successfully incorporated information and technology to consistently improvise healthcare. By association with HIMSS, various avenues of healthcare and leadership have engaged in building a like-minded community. The HIMSS community spans of over 70,000 members, 600 corporates and 450 organizations.
Association and participation with the HIMSS community and attendance of their conferences held are good places to watch the display of digital innovations that are aimed at raising the quality of healthcare. It is an exclusive opportunity to gain access to the expertise of various specialists in the healthcare and information technology sectors. The insight gained through the various arrangements of the conference can be used towards leveraging of assets, operational excellence and clinical studies.
This structure is then further enhanced with the use of key innovations and technologies that are used to automate and expedite healthcare functions.
Here are some lessons you may like before you get in HIMSS 2019.
2019 will be a year when marketing sophistication becomes the norm. By leveraging artificial intelligence (AI) to automate customer journeys and effectively glean deeper audience insights, marketers will be empowered to drive lasting business impact.
Software companies have invested heavily in powering new technologies over the last few years that enable customers to understand and react to an influx of demographic and behavior data, coupled with evolving customer preferences. Most marketers are overwhelmed by the data deluge. According to a recent survey from Deloitte and the American Marketing Association, AI adoption among CMOs will increase by 63 percent over the next three years.
Predictive lead scoring, insightful variable customer journeys, advanced personalization, database connectivity and integration, coupled with an end-to-end view of customer routines, are currently on the blurry horizon. AI will provide clarity and create a path to transformation that marketing and sales teams have been striving for but few have achieved.
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It’s 2019, and hyper-personalization of customer experience is not a luxury but a necessity. It does not matter how the customer contacts you - be it through live chat, mobile, email, or social media - her only desire is to achieve an effective solution to her problem. If a brand makes that journey simple and seamless, the customer will enjoy the journey and most likely return.
A customer expects to have a consistent experience across every touchpoint and interaction with the brand. It’s the marketer who think in terms of channels, not the customer. While omnichannel marketing is having its CX moment, there is merit to considering a ‘channel-less’ approach to CX – which is essentially a mindset change.
Here’s why.
What is Channel-less Customer Experience?
Unlike omnichannel which implies a blanket approach – including all possible channels and touchpoints when designing for CX, channel-less customer experience is all about designing a seamless customer experience that allows the customer to enjoy a consistent brand interaction irrespective of the channel. This means, instead of focusing resources on trying to patch together the brand experience across multiple channels and platforms; or on ensuring you are present on every single channel that exists; the brand starts with the experience and not the platforms on which the experience will be delivered. This helps easily recreate the experience on any channel - including any new ones - quickly and with agility. The channel becomes incidental – the experience becomes central.
Digital assistants have become pervasive in our lives. When we wake up, we have Amazon’s Alexa read us the news and remind us to pick up our dry cleaning. As we get ready for the day, Siri plays our favorite songs. To get to work, we order an Uber with Google Assistant. However, when we get to the office, those products don’t follow us through the door. That is about to change in a big way.
Very soon, companies will begin to deploy AI-powered digital assistants in the workplace to automate repetitive work and boost productivity. We’ll be able to set up a meeting or reserve a conference room just by uttering a few words. Gartner forecast that by 2020, one-fifth of white-collar employees will utilize a digital assistant. Within five years, the firm predicts that most employees will use one. As the capabilities of these offerings improve, they will fundamentally change the way that we work.
The usage of consumer digital assistants has exploded in recent years. Apple recently announced that Siri had 500 million active users. Sixteen percent of Americans own a smart speaker, which are controlled by digital assistants like Alexa and Google Assistant. Keep in mind; this product category is less than four years old. These tools have proven their worth in the consumer world and appear primed to do the same in the enterprise.
From retail giants to Silicon Valley startups, a rapidly growing number of companies are embedding AI into their businesses. Even the public has begun to welcome AI into their homes.
With 2018 soon coming to a close, it’s time to start asking what the future holds for AI and how its reach will continue to expand in 2019.
We surveyed a diverse group of industry leaders for answers. Here, we’ll take a look at their insights and learn what AI has to offer in the coming year.
“My prediction for artificial intelligence in 2019 is specific to the 3 million employee shortfall in cybersecurity, where the opportunity exists for artificial intelligence to help automate threat detection and response,” said Will Lassalle, CIO of Lynx Technology Partners and JLS Technology USA.
Imagine this —
You are planning to attend a business conference in San Francisco over the weekend. It involves a lot of networking and will give you a chance to connect with people who will influence the next step of your career. You pick up your phone and ask Siri how the weather’s going to be in San Francisco during the weekend.
“Should I carry a jacket?” you ask.
“I think you should,” Siri replies.
Now Siri isn’t yet on the level of your BFF who can tell you where to pick up those bargain Jimmy Choos that would go with the dress you intend to wear. But Siri, or any other intelligent assistant, like Alexa, or Cortana, or Google Assistant, is capable of telling you a host of things you need to know – the weather report, the restaurants you can grab dinner at post-conference, good hotels closer to the venue, and so on.
With the amount of store closings breaking a new record in 2018, brick-and-mortar retail marketers are left wondering how they can effectively compete with the growth and momentum of e-commerce. Larger brands such as Toys R Us, Sears and Gap were among the many well-known retailers that shocked the industry by shuttering hundreds of stores in the past year. Interestingly, despite all the closings, nearly 80 percent of consumers still primarily prefer to shop in-stores vs. online. It’s clear consumers still like to touch, see and feel merchandise goods in person, given 90 percent of global sales were still made in-store in 2018. So what gives?
Ace Product Merchandising
Only physical stores can exploit the correlation between physical interaction with a product and an increased sense of ownership, which can be a powerful driver of sales. With Video AI, the data generated allows marketers to actually see how customers interact with products, including what merchandise is being touched, considered, taken or even returned to shelves.
Product layout and displays influence both the shopping atmosphere and behaviors of consumers visiting the store. With AI interpreting every single interaction, marketers are able to better plan store displays and refine product placement down to a science. Whether they’re finding that waist-level is prime visual real-estate for jewelry to be displayed or low-selling items must be at eye-level, acing your shop’s product placement will yield higher sales.
In the first part of this two-part series, we explored the major challenges marketers grapple with in the era of digital transformation and marketing automation. We also examined the differences between AI-first and AI bolt-on solutions, an assessment each organization will have to undertake as they begin building their AI-centric framework.
In the second half of this discussion, we’ll outline how AI-centered marketing transforms current challenges into unprecedented opportunities and innovations, enabling CMOs and their teams to capitalize on the full potential of digital marketing.
Segments of one — Machines have an infinite ability to understand people (through nuanced preferences that change over time) and develop individually targeted messages at scale. Marketers who know the domain can work alongside AI/ML programs to define customer segments and sub-segments — for one or one thousand individuals. Marketers and advertisers can then develop tailored, nuanced ways to interact with these segments.
Intelligent automation at mass scale — Machines can run through billions of points of customer data and establish the most effective steps, sequences, channels, form factors, keywords, and times for customer interactions. Machines can also run thousands of campaigns simultaneously. Developments in machine learning (ML) that leverage reinforcement/reward methods and multi-armed bandit algorithms bode well for scaling marketing processes. AgilOne and Adobe Sensei are the most powerful current examples.
