AI News, 32 Artificial Intelligence Companies You Should Know

Coronavirus is the first big test for futuristic tech that can prevent pandemics

The novel coronavirus that first appeared in mainland China has now spread across the world, with more than 82,000 reported cases and nearly 3,000 deaths, as of Thursday.

New technology like infrared thermometers — potentially unreliable devices known as “thermometer guns” — are becoming increasingly commonplace in China, where health workers regularly check people’s temperatures.

Somewhat behind the scenes, however, more futuristic technology powered by artificial intelligence is helping to identify coronavirus symptoms, find new treatments, and track the spread of the disease.

Powerful surveillance tech — including facial recognition-enabled cameras and drones — is also helping find people who might be sick or who aren’t wearing masks.

That process can involve using AI to find entirely new molecules that might be capable of treating the pneumonia-like illness, or mining through databases of already-approved drugs (for other illnesses) that might also work against Covid-19.

Importantly, while AI drug discovery might speed up the process of finding candidates for new drugs and treatments, there’s no guarantee that the technology will come up with anything better than what human scientists could find on their own.

So while identifying people not wearing masks could protect public health, that capability also raises concerns about the further development of facial recognition that works whether people are wearing masks or not.

This type of scanning is being used to sense whether people might have elevated temperatures, which might indicate whether they’ve been infected with the coronavirus and help verify their identity.

What’s more, facial recognition sellers are also using coronavirus to push the idea that touch-free biometric systems are safer than, say, using a key or a fingerprint to enter a building.

As such, Remark Holdings released a statement claiming that facial recognition is safer than other forms of biometric authentication, like fingerprinting, because it “removes the chances of disease being spread through human-to-surface contact.” In many ways, all of these newer, more advanced technologies stand to help combat the coronavirus outbreak.

But now critics of surveillance tech — who have typically argued that the technology threatens our civil liberties and sometimes doesn’t even work — will likely have to push against a different argument: severe threats to public health.

Make sure to follow the CDC’s instructions for keeping yourself and your family members healthy, such as washing your hands and staying away from sick people — which is not particularly high-tech.

37 Customer Experience Statistics You Need to Know for 2020

Post summary: It wasn’t too long ago when every business claimed that the key to winning customers was in the quality of the product or service they deliver.

The Temkin Group found that companies that earn $1 billion annually can expect to earn, on average, an additional $700 million within 3 years of investing in customer experience.

For example, customers are willing to pay a price premium of up to 13% (and as high as 18%) for luxury and indulgence services, simply by receiving a great customer experience.

But the most convincing reason why CX has become so important is this: A Walker study found that by the end of 2020, customer experience will overtake price and product as the key brand differentiator.

If CX is to play an important part in your 2020 plans (and it should!), use this article to stay ahead of the top customer experience statistics in the upcoming year.

At SuperOffice, we’ve helped thousands of companies use sales, marketing and customer service to improve the customer experience. This gives us access to data and insight on how consumers feel about the experience they receive –

But, in order for your customers to like you, you need to get to know them, and then use this knowledge to deliver personalized experiences across the entire customer journey.

But gaining this in-depth knowledge about customers isn’t something that just happens. You need to collect customer data (i.e.Voice of Customer data) and bring out valuable insights from that data with speed and precision.

And how you feel after an interaction with a customer service center has a huge impact on your future purchase decisions.

According to Gartner’s research, companies that successfully implement customer experience projects begin by focusing on how they collect and analyze customer feedback.

IKEA invests heavily into customer experience.  This year alone, they’ve opened more stores, invested in its home delivery network and launched a brand new app –

In fact, in their 2020 report, PWC found that the number of companies investing in the omni-channel experience has jumped from 20% to more than 80%.

Adding to this, Adobe recently found that companies with the strongest omni-channel customer engagement strategies enjoy a 10% Y-O-Y growth, a 10% increase in average order value and a 25% increase in close rates.

By not providing a positive mobile experience, you’re putting business growth in jeopardy, as the graphic below shows.

However, for companies that aren’t, they’ve been slow to adapt to this trend – especially when it comes to customer support – as an overwhelming 90% of customers report having a poor experience when seeking customer support on mobile devices.

In their future of CX report, PwC surveyed 15,000 consumers and found that 1 in 3 customers will leave a brand they love after just one bad experience, while 92% would completely abandon a company after two or three negative interactions.

In 2020, companies should ensure that customers are able to find answers to their questions using a wide-range of self-service options.

With 90% of companies now planning to deploy AI within 3 years, this number is expected to grow to 40% by 2023.

With 9 out of 10 businesses competing mainly on customer experience, it’s the organizations that take customer experience seriously that will stand out from the noise and win loyal customers over.

This means creating complete customer profiles that help you understand and measure your customers’ behavior at every touch point, and across multiple channels.

Surgical Robots, New Medicines and Better Care: 32 Examples of AI in Healthcare

Artificial intelligence simplifies the lives of patients, doctors and hospital administrators by performing tasks that are typically done by humans, but in less time and at a fraction of the cost.   One of the world's highest-growth industries, the AI sector was valued at about $600 million in 2014 and is projected to reach a $150 billion by 2026.

Whether it's used to find new links between genetic codes or to drive surgery-assisting robots, artificial intelligence is reinventing — and reinvigorating — modern healthcare through machines that can predict, comprehend, learn and act.

The company’s deep learning platform analyzes unstructured medical data (radiology images, blood tests, EKGs, genomics, patient medical history) to give doctors better insight into a patient’s real-time needs.

The scientists used 25,000 images of blood samples to teach the machines how to search for bacteria. The machines then learned how to identify and predict harmful bacteria in blood with 95% accuracy.

Adam scoured billions of data points in public databases to hypothesize about the functions of 19 genes within yeast, predicting 9 new and accurate hypotheses.

BERG recently presented its findings on Parkinson’s Disease treatment —  they used AI to find links between chemicals in the human body that were previously unknown — at the Neuroscience 2018 conference.

Location: Cambridge, Massachusetts How it's using AI in healthcare: Combining AI, the cloud and quantum physics, XtalPi’s ID4 platform predicts the chemical and pharmaceutical properties of small-molecule candidates for drug design and development.

Additionally, the company claims its crystal structure prediction technology (aka polymorph prediction) predicts complex molecular systems within days rather than weeks or months.

Atomwise’s AI technology screens between 10 and 20 million genetic compounds each day and can reportedly deliver results 100 times faster than traditional pharmaceutical companies.

Location: London, England How it's using AI in healthcare: The primary goal of BenevolentAI is to get the right treatment to the right patients at the right time by using artificial intelligence to produce a better target selection and provide previously undiscovered insights through deep learning.

A 2016 study of 35,000 physician reviews revealed 96% of patient complaints are about lack of customer service, confusion over paperwork and negative front desk experiences.

New innovations in AI healthcare technology are streamlining the patient experience, helping hospital staff process millions, if not billions of data points, faster and more efficiently.

The company’s technology helps hospitals and clinics manage patient data, clinical history and payment information by using predictive analytics to intervene at critical junctures in the patient care experience.

Location: Cleveland, Ohio How it's using AI in healthcare: The Cleveland Clinic teamed up with IBM to infuse its IT capabilities with artificial intelligence.  The world-renowned hospital is using AI to gather information on trillions of administrative and health record data points to streamline the patient experience.

Since implementing the program, the facility has seen a 60% improvement in its ability to admit patients and a 21% increase in patient discharges before noon, resulting in a faster, more positive patient experience.

Additionally, the inability to connect important data points is slows the development of new drugs, preventative medicine and proper diagnosis.  Many in healthcare are turning to artificial intelligence as way to stop the data hemorrhaging.

Location: Seattle, Washington How it's using AI in healthcare: KenSci combines big data and artificial intelligence to predict clinical, financial and operational risk by taking data from existing sources to foretell everything from who might get sick to what's driving up a hospital’s healthcare costs.

The company’s software helps pathology labs eliminate bottlenecks in data management and uses AI-powered image analysis to connect data points that support cancer discovery and treatment.

How it's using AI in healthcare: When IBM’s Watson isn’t competing on Jeopardy!, it's helping healthcare professionals harness their data to optimize hospital efficiency, better engage with patients and improve treatment.

Location: Shenzhen, China How it's using AI in healthcare: ICarbonX is using AI and big data to look more closely at human life characteristics in a way they describe as “digital life.'  By analyzing the health and actions of human beings in a “carbon cloud,' the company hopes its big data will become so powerful that it can manage all aspects of health.

Robots equipped with cameras, mechanical arms and surgical instruments augment the experience, skill and knowledge of doctors to create a new kind of surgery. Surgeons control the mechanical arms while seated at a computer console while the robot gives the doctor a three dimensional, magnified view of the surgical site that surgeons could not get from relying on their eyes alone.

Being the first robotic surgery assistant approved by the FDA over 18 years ago, the surgical machines feature cameras, robotic arms and surgical tools to aide in minimally invasive procedures.

Under a physician’s control, the tiny robot enters the chest through a small incision, navigates to certain locations of the heart by itself, adheres to the surface of the heart and administers therapy.

Location: Eindhoven, The Netherlands How it's using AI in healthcare: MicroSure’s robots help surgeons overcome their human physical limitations.  The company's motion stabilizer system reportedly improves performance and precision during surgical procedures.

Location: Caesarea, Israel How it's using AI in healthcare: Surgeons use the Mazor Robotics' 3D tools to visualize their surgical plans, read images with AI that recognizes anatomical features and perform a more stable and precise spinal operation.

32 Artificial Intelligence Companies Building a Smarter Tomorrow

From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence.

Meanwhile, revolutionary breakthroughs like self-driving cars may not be the norm, but are certainly within reach.  As the big guys scramble to infuse their products with artificial intelligence, other companies are hard at work developing their own intelligent technology and services.

By highlighting only the most relevant and interesting information, businesses can make quicker decisions regardless of the staff's experience with data or analytics.

Industry: Fintech Location: New York, New York What it does: AlphaSense is an AI-powered search engine designed to help investment firms, banks and Fortune 500 companies find important information within transcripts, filings, news and research. The technology uses artificial intelligence to expand keyword searches for relevant content.

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Using non-invasive blood tests, the company’s AI technology recognizes disease-associated patterns, providing earlier cancer detection and better treatment options.

Its LiDAR technology focuses on the most important information in a vehicle’s sightline such as people, other cars and animals, while putting less emphasis on things like the sky, buildings and surrounding vegetation.

By fusing problem solving, learning and memory technologies together, the company can build systems that learn and adapt without human assistance.

Called CARA A.I., the company's tech can search within the language, jurisdiction and citations of a user's uploaded documents and return relevant searches from the database.

Industry: Cloud, Robotics Location: Santa Clara, California What it does: CloudMinds provides cloud robot services for the finance, healthcare, manufacturing, power utilities, public sector and enterprise mobility industries.

Its cloud-based AI uses advanced algorithms, large-scale neural networks and training data to make smarter robots for image and object recognition, natural language processing, speech recognition and more.

The company's 'human-in-the-loop' platform uses human intelligence to train and test machine learning, and has powered AI projects for major companies like Oracle, Ebay SAP and Adobe.

From financial and insurance needs to travel and healthcare, the intelligent products perform duties and answer questions for tech support, billing, scheduling, purchases and policy information.

Industry: Big Data, Software Location: Mountain View, California What it does: Orbital Insight uses geospatial imagery and artificial intelligence to answer questions and gain insights invisible to the naked eye. Using data from satellites, drones, balloons and other aircrafts, the company can provide insights and forecasts to the agriculture and energy industries that normally wouldn’t be available.

Industry: Software Location: San Francisco, California What it does: OpenAI is a nonprofit research company with a mission to create safe artificial general intelligence (AGI). AGI aims to create machines with general purpose intelligence similar to human beings. With a focus on long-term research and transparency, OpenAI hopes to advance AGI safely and responsibly.

Sift uses thousands of data points from around the web to train in detecting fraud patterns. The technology helps payment processors, marketplaces, e-commerce stores and even social networks prevent fraud.

Industry: Software, Healthtech Location: Berkeley, California (US office) What it does: Zebra Medical Vision develops technology for radiology and medical imaging, enhancing the diagnostic abilities of radiologists while maximizing focus on patient care.

These algorithms will ultimately help medical professionals detect high-risk patients earlier and manage growing workloads with more accurate outcomes.

Spanning the agriculture, pharmaceutical and chemical industry, the company enables faster cultivation of microbes through automation software and a huge catalog of physical and digital DNA data.

12 Minutes AI - Everything you need to know - WorkTools #29 by Christoph Magnussen

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