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Ibm’s watson helps write latest lexus commercial


To learn what to look for, Watson was given data from the online-video marketplace Unruly to learn what type of elements connected emotionally with viewers. It also was fed data from a study conducted by the applied science division of the University of New South Wales in Australia, which analyzed how people respond to car advertising.

To create the script, Watson analyzed 15 years’ worth of footage, text, and audio from award-winning campaigns along with other data. Watson then identified elements that were common in effective commercials. According to IBM, the AI was looking for things that were both emotionally intelligent and entertaining.

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The aiconics 2018 ai winners - best application of artificial intelligence


The AIconics are the world’s only independently-judged awards celebrating the drive, innovation and hard work in the international AI Community. A panel of 20 judges from around the world thoroughly reviewed competitive entries from the leading innovators in the AI Space.

Here are the 2018 winners:

Best Application of AI for Sales & Marketing

RTB House 
RTB House is a global company that provides state-of-the-art retargeting technology for top brands worldwide. Its proprietary ad buying engine is the first and only in the world to be powered entirely by deep learning algorithms, enabling advertisers to generate outstanding results and reach their short, mid and long-term goals. 
https://www.welcome.ai/rtb-house  

Best Innovation in AI Hardware

Pure Storage
Pure Storage helps innovators build a better world with data. Pure's data solutions enable SaaS companies, cloud service providers, and enterprise and public sector customers to deliver real-time, secure data to power their mission-critical production, DevOps, and modern analytics environments in a multi-cloud environment.
https://www.welcome.ai/pure-storage 

Best Innovation in Robotic Process Automation

UiPath
UiPath provides a complete software platform helping organizations automate business processes. The company's mission is to eradicate tedious, repetitive tasks and let software robots do the grunt work. They enable businesses and organizations to develop an agile digital workforce by providing a state-of-the-art platform for software robots orchestration. Their products automate across all internal or web-based applications/databases and have unmatched solutions for Citrix, SAP and BPO automation.
https://www.welcome.ai/uipath  

Best Application of AI in Financial Services

Workfusion
WorkFusion's Intelligent Automation empowers enterprise operations to digitize. WorkFusion combines robotic process automation (RPA), AI-powered cognitive automation, workflow, intelligent conversational agents, crowdsourcing and analytics into enterprise-grade products purpose-built for operations professionals. These capabilities let enterprise leaders digitize their operation, exponentially increasing productivity and improving service delivery.
https://www.welcome.ai/workfusion  

Best Intelligent Assistant Innovation

Artificial Solutions
Artificial Solutions® is the leading specialist in Natural Language Interaction (NLI), a form of Artificial Intelligence that allows people to converse with applications and electronic devices in free-format, natural language, using speech, text, touch or gesture. Delivered through Teneo® – an ultra-rapid NLI development and analytics platform – it allows business users and developers to collaborate on creating sophisticated, humanlike natural language applications in record time without the need for specialist linguistic skills.
https://www.welcome.ai/artificial-solutions  

Best Innovation in Deep Learning

IBM Watson Studio
IBM’s experiment-centric deep learning service within Watson Studio allows data scientists to visually design their neural networks and scale out their training runs while auto-allocation means paying only for the resources utilized. Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data. Build, train, deploy and manage AI models at scale, and prepare and analyze data, in a single, integrated environment.
https://www.welcome.ai/ibm-watson  

Best Innovation in Natural Language Processing

Clarabridge
Clarabridge helps hundreds of the world's leading brands understand and improve their customer experience. Using advanced text analytics, Clarabridge transforms survey, social, voice and all other forms of customer feedback into intelligence used to empower confident, decisive action across the business.
https://www.welcome.ai/clarabridge  

Best AI Start-Up

Luminance 
Luminance helps lawyers to categorise, review and analyse thousands of documents at speeds no human can match. With AI taking the burden of low-level cognitive tasks – like those common in due diligence, compliance, insurance or in-house contract management – lawyers can optimise their practice, working smarter, faster and more effectively.
https://www.welcome.ai/luminance  

Best Application of AI in the Enterprise

LiveTiles
LiveTiles is defining the market for the intelligent workplace by giving developers and business users tools to easily create dashboards, employee portals, and corporate intranets that can be further enhanced by artificial intelligence and analytics features.
https://www.welcome.ai/livetiles  

Best AI Application in Healthcare

AIfred Health
Aifred Health is using AI techniques to develop a clinical decision aid for physicians to improve treatment efficacy for individuals suffering from depression. The foundation of this clinical tool is the data collected by researchers investigating patient response to depression treatments in clinical trials . 
https://www.welcome.ai/aifred-health 

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10 ways ai is affecting our lives today


While machines that can learn on their own are still some ways off, AI in its early forms has seeped into
our lives in many different ways, sometimes without us even noticing it.
Introduction
 
A true AI system can learn on its own, make connections and reach meanings without pre-defined
behavioral algorithms, and get smarter and more aware based on past iterations. While true AI-based
machines are still some distance away from materializing, early AI technologies have already seeped into
our lives in many ways, in this machine-learning phase of the Digital Age. These will pave the way for a
multi-generational leap forward in the next 100 years, unmatched even by the dramatic upheavals we
have seen in the last 100.
 
Some of the ways in which AI is already affecting our lives are:
 
1. Virtual Personal Assistants
Services like Siri, Alexa, Google Now and Cortana use machine-learning technology to better recognize
your speech and serve you results tailored to your preferences. These will eventually even learn to
anticipate your needs.
 
2. Video Games
While AI has been part of video games for a long time in small ways, today’s games have characters that
learn your behavior, respond to stimuli and react unpredictably. First-person shooters like Far Cry and
Call of Duty has enemy characters that can analyze their environments to find objects or actions
beneficial to their survival, and even communicate with other AI characters to team up against you.
 
3. Smart Cars
Google’s self-driving cars could potentially learn to drive using experience, just as humans do.
Eventually, the car will be able to ‘look’ at the road, make decisions based on what it sees and learn in
the process. Tesla’s autopilot feature might not be this advanced, but it’s already being used on the
road.
4. Purchase Prediction
Retailers like Amazon hope to reach a stage where they can ship your items before you even realize you
need them. Even coupons, discounts, targeted advertisements or warehouse stocking systems are using
predictive analysis to anticipate customer requirements. There are niche companies that are using AI to
dominate the playing field, like Boxever, which leans heavily on machine learning to improve customer
experience in the travel industry.
 
5. Fraud Detection
AI is often used to detect credit card frauds, on the basis of which card owners receive a communication
from the bank. Use of AI reduces the time for detection to an astonishing 40-60 milliseconds. And
computers will only get better in spotting fraudulent transactions based on indications learned through
training.
 
6. Online Customer Support
While many of the automated customer support systems today are rudimentary chatbots, some of them
do use AI to extract knowledge from a repository and present to customers when needed. In fact, many
of the basic chatbots also make use of natural language processing to better understand customers.
Related to this is the service provided by companies like Cogito, which uses machine learning and
behavioral science to improve customer interaction with human phone professionals.
 
7. News Generation
In-depth investigative articles are still beyond the capabilities of AI, but simple stories like financial
summaries, sports recaps and fantasy sports reports are already being written by AI programs, and used
by services like AP, Fox, and Yahoo! Wordsmith is a popular natural language generation platform that
turns data into narratives and has been used in e-commerce, financial services, and real estate
industries.
 
8. Security Surveillance
With supervised training exercises, security algorithms can take input from security cameras and
determine threat – better than a single person monitoring many video cameras. Identifying actions that
might imply a thief in a store are likely beyond the current technological limitations but don’t be
surprised if this sort of technology debuts in the near future.
 
9. Recommendation Services
Apps like Spotify, Netflix, and Pandora make music and movie recommendations based on your past
selections. While not futuristically advanced, the amount of data these services can handle at a time is
quite impressive. And they will only get smarter.
 
10. Smart Home Devices
Many of your home devices have the ability now to learn your behavior patterns and do things like
adjusting thermostat settings to save money. This service was made particularly famous by Nest, the
company acquired by Google in January 2014 for $3.2 bn. Lighting systems, security cameras, cooking
systems – use of AI in smart homes is only limited by our imagination.
 
While companies like Apple, Facebook and Tesla rollout revolutionary changes, it is not always clear how
deep an effect AI, and related technologies like quantum computers will have on our day-to-day lives.
When AI really blossoms, how much of an improvement will it have on the current iterations we have
available already? What we do know is that there is no stopping its evolution and its rise.
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What is the fourth industrial revolution?


Ubiquitous, mobile supercomputing. Artificially-intelligent robots. Self-driving cars. Neuro-technological brain enhancements. Genetic editing. The evidence of dramatic change is all around us and it’s happening at exponential speed. Previous industrial revolutions liberated humankind from animal power, made mass production possible and brought digital capabilities to billions of people. This Fourth Industrial Revolution is, however, fundamentally different. It is characterized by a range of new technologies that are fusing the physical, digital and biological worlds, impacting all disciplines, economies and industries, and even challenging ideas about what it means to be human.

 

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Cb insights ai 100


CB Insights created a list of 100 of the most promising private companies applying artificial intelligence algorithms across 25+ industries, from healthcare to cybersecurity

The 100 startups on our list have raised $11.7B in aggregate funding across 367 deals.

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See the full detailed list at CBInsights.com : AI 100: The Artificial Intelligence Startups Redefining Industries

 

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