AI News, List of interested Artificial Intelligence (AI) suppliers artificial intelligence
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Artificial intelligence (AI) is a set of hardware and software systems capable of providing computing units with capabilities that, to a human observer, seem to imitate humans’ cognitive abilities. It
uses an assembly of nature-inspired computational methods to approximate complex real-world problems where mathematical or traditional modeling have proven ineffective or inaccurate.
Artificial Intelligence uses an approximation of the way the human brain reasons, using inexact and incomplete knowledge to produce actions in an adaptive way,with experience built up over time.
A widespread model assumes the raw data from sensors are sent to a powerful central remote intelligence (Cloud), thus requiring significant data bandwidth and computational capabilities.
This distributed approach significantly reduces both the required bandwidth for data transfer and the processing capabilities of cloud servers, leveraging modern computing capabilities at the edge.
Advanced sensors, such as theLSM6DSOX (IMU), contain a machine learning core, a Finite State Machine (FSM) and advanced digital functions to provide to the attached STM32 or application central system capability to transition from ultra-low power state to high performant high accuracy AI capabilities for battery operated IoT, gaming, wearable technology and consumer electronics.
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.
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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.
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.
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.
The company, which boasts a mission to eventually create machines that surpass human intelligence, has serious backing from tech titans like Mark Zuckerberg, Jeff Bezos and Elon Musk.
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.
How Artificial Intelligence (AI) Will Change Decision Making for Businesses!
If you ask Siri, the helpful assistant who magically lives inside your phone, to read text messages and emails to you, find the nearest pizza place or call your mother for you, then you’ve made AI a part of your everyday life.
Even current weather forecasting systems, spam filtering programs, and Google’s search engine – among so many other practical applications – are AI-powered.
It will be measured in more practical ways, like return on investment, new market opportunities, diseases cured and lives saved.” Yes, AI technology isn’t the end but only a means towards effectiveness and efficiency, improved innovative capabilities, and better opportunities.
In financial services, PwC has put together massive amounts of data from the US Census Bureau, US financial data, and other public licensed sources to create $ecure, a large-scale model of 320 million US consumers’ financial decisions.
The model is designed to help financial services companies map buyer personas, simulate “future selves” and anticipate customer behavior.
For instance, artificial intelligence has led to the design of smarter (even driverless) cars, equipped with multiple sensors that learn and identify patterns.
This has helped companies predict the adoption of electric and driverless vehicles, and the implementation of non-restrictive pricing schemes that work on their target market.
The key here is how artificial intelligence systems are able to run more than 200,000 GTM (go-to-market) scenarios, instead of just a typical handful.
According to Adobe Marketing Cloud Product Manager, John Bates: “For retail companies that want to compete and differentiate their sales from competitors, retail is a hotbed of analytics and machine learning.” AI application development has provided marketers with new and more reliable tools in market forecasting, process automation and decision-making.
He reiterates: “There’s an immense opportunity to use AI in all kinds of decision making” Today’s AI systems start from zero and feed on a regular diet of big data.
Through a Decision Support System, your artificial intelligence system is able to support decisions through real-time and up-to-date data gathering, forecasting, and trend analysis.
Customer Relationship Management (CRM) Artificial intelligence within CRM systems enable its many automated functions, such as contact management, data recording and analyses and lead ranking.
Automation Efficiency and AI The automation efficiency lent by artificial intelligence to today’s business processes has gone beyond the assembly lines of the past.
In marketing, for instance, the automation of market segmentation and campaign management has enabled more efficient decision-making and quick action.
This form of AI is often used by search engines, which regularly rank people’s interests in specific web pages, websites and products.
Here, hyperlink-based AI is employed, wherein bots seek out clusters of linked pages and see these as a group sharing a common interest.
When decision-makers and business executives have reliable data analyses, recommendations and follow-ups through artificial intelligence systems, they can make better choices for their business and employees.
The gap lies in developing artificial intelligence systems that could deal with the enormous amount of data currently available.
At this point, there is nothing – neither human nor artificial intelligence – that can sift through this amount of data, in order to make it useable for business.
And until now, we have not had the means to mine it.” He believes that it is companies involved in genomics and oil that will find the means to min this resource.
He delves further on the future of AI and analytics: “In the end, all technology revolutions are propelled not just by discovery, but also by business and societal need.
- On Sunday, August 18, 2019
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