7 surprising AI companies
Machine learning, data science, business intelligence, and other AI-related fields are hot right now. As automation eliminates human jobs, demand for AI talent grows rapidly.
Indeed says AI-related job postings have doubled in three
years.
Dr. Andrew Chamberlain, Chief Economist at
Glassdoor, says AI and automation will affect nearly every aspect of the
workforce. These technologies are used for chatbots at Bank of America,
easy-to-search images on Facebook, and automated fashion suggestions on Amazon.
Machine learning and deep learning will disrupt and improve many industries and
domains. Here are some great places to use AI to create game-changing
technologies.
Volkswagen's self-driving car is the best.
AI algorithms will replace human drivers soon. We
occasionally read about self-driving car test program crashes and incidents. In
a few years, self-driving cars will be available to the public. They need AI
experts to improve their self-driving cars. Big tech companies and traditional
carmakers are interested in autonomous driving. Volkswagen recently increased
its AI involvement. The corporation has its own AI labs, where experts work on
initiatives like improving how self-driving cars see and react to situations. In
2017, Volkswagen joined with Nvidia to boost its AI efforts. In 2018, the
manufacturer partnered with self-driving vehicle startup Aurora to create its
fleet of self-driving cars.
Bank: JPMorgan Chase
Artificial intelligence algorithms perform best with
lots of excellent data. Few fields contain as much historical and organized
data as finance. AI can help financial organizations become more efficient at
serving customers. Detecting and preventing fraud, algorithmic trading, and
customer support are examples. In addition to the many fintech startups working
on AI solutions, huge financial institutions and banks are turning into their
own tech companies by buying startups and AI expertise to develop their own
solutions and preserve their competitive edge in a rapidly changing market.
JPMorgan Chase, the largest bank in the US, uses
technology and AI algorithms in various industries. The company appointed
Manuela Veloso, former head of Carnegie Mellon's Machine Learning Department,
as its first head of AI research. The company's 2018 tech spend reached $10
billion, with AI a big component of it. Co-President and COO Daniel Pinto wrote
to shareholders in April that AI, robotics, machine learning, distributed
ledgers, and big data will determine our future.
JPMorgan has put out numerous AI-powered services
for its clients, including algorithms to help investors make better investment
and trade decisions.
Philips Healthcare
From expanding healthcare access to detecting and
treating diseases faster and more precisely, health institutions are using AI
in medicine and healthcare. Philips is a long-standing tech firm and global
pioneer in health technology. You can work on AI solutions that will transform
the entire health care cycle, from helping doctors achieve better outcomes to
helping consumers control their own health and adopt healthier lives.
Philips uses AI and other technologies to adapt to
changing healthcare demands, a notion company calls "adaptive
intelligence." The company believes AI doesn't replace healthcare experts
but augments their abilities, enabling 24/7 healthcare whenever needed.
Philips' Chief Innovation and Strategy Officer,
Jeroen Tas, told the Journal of mHealth, "We can utilize AI to support
physicians by streaming data, analyzing data, offering useful visualisations,
detecting deviations from normal, and delivering early warnings."
Philips has a long history of providing hardware and
software solutions for consumers, patients, professionals, and health
organizations. The company has years of AI research in medical and healthcare.
Philips' AI-powered solutions include research, diagnosis and treatment, home
care, and population health management.
HealthSuite Insights, Philips' platform for data
scientists, allows them to access excellent health data sources and construct
analytical models for diagnosis and therapy. CareSage offers predictive
analytics with AI. It prevents unnecessary hospital visits. It combines health
data and uses predictive analytics. The IntelliSpace Console takes real-time
data from connected ICU health equipment and combines it with hospital
information systems and health records to enable clinicians make fast and successful
treatment decisions.
Panasonic Computer Vision
Our robots and AI algorithms need to grasp the
physical world as they interact with it more. Computer vision is a subfield of
AI that analyzes photos and movies to identify objects. Computer vision is key
to AI-powered systems including self-driving cars, surveillance cameras, social
media, healthcare, and banking. In computer vision, you get to work on intriguing
projects in diverse domains.
Panasonic works with research centers and
universities to create deep learning computer vision technologies. Panasonic is
working on numerous computer vision technologies, such as pedestrian
identification for autonomous vehicles and dam inspection through image
analysis.
Palo Alto Networks cybersecurity
As firms generate more data every day, security and
IT professionals struggle to safeguard networks and prevent intrusions. The
average company processes over 200,000 security events every day. AI and
machine learning may help security teams by swiftly sifting through data for
patterns that need human analysis. This is a rapidly emerging industry, and
many firms use AI to improve their security systems. One of them is Palo Alto
Networks, a Silicon Valley business security company that has added AI to its
software to discover and stop cyber attacks. This year, Palo Alto Networks
announced Magnifier, a behavioral analytics tool that employs machine learning
algorithms to study network traffic and uncover covert activities that may be
disguising a data breach. The company has numerous additional initiatives and
is hiring AI experts.
Affectiva Emotion-Detection
Thanks to improvements in NLP, we're now used to
using voice and conversational interfaces. Siri, Alexa, Cortana, Google, other
AI-powered assistants are used by millions to discover answers, set alarms,
play music, read emails, shop, turn on lights and air conditioning, and lock
and open doors. The next stage for AI chatbots and digital assistants is to
grasp intent and context, so they can have more meaningful discussions and
execute more sophisticated jobs. This is the focus of many huge IT companies
and AI startups, and they're all looking for talent to help them. Affectiva is
a Boston-based MIT Media Lab spin-off that builds AI that understands human
emotions. In 2017, Affectiva created an AI technology that measured emotion
through facial expressions. This technology is employed in multiple verticals
and application cases. Now, the startup wants to expand its AI team and use
human speech with its emotion-sensing tech.
DeepLearning.ai Training
AI professionals are needed worldwide. Many
occupations will depend on AI experts in the near future. Many organizations
hire AI professionals for teaching initiatives. Deeplearning.ai was founded by
Google Brain co-founder and former Baidu chief scientist Andrew Ng. Ng's taught
AI for years. Co-founded Coursera, an online training platform where he teaches
machine learning. Ng's latest startup, Deeplearning.ai, will educate deep
learning, the most popular discipline of AI. If money isn't your goal and you
want to share your expertise, developing machine learning and deep learning
courses may be a good approach to put your AI skills to use.