intelligence


Industrial automation and intelligence automation, .. the difference?

#artificialintelligence

Industrial automation can be defined as a Set of processes where implementation of control systems, such as Robots, computers or both, including information technologies for administering different processes and equipment's in an industry to replace a human being. This is done to achieve higher productivity, quality, flexibility, information accuracy and higher safety. The negative effects being high initial cost, associated with making the switch from a human involved production line to an automatic production line. In other words, it is the application of artificial intelligence and other advanced technologies like computer vision, cognitive automation, machine learning to a robotic process which will elevate competitive advantage to a business.


Artificial Intelligence to Amplify FinTech

@machinelearnbot

Endowing the modern workforce with AI, machine learning, payment intelligence and advanced analytics fintech will thrive, amplify and fly. The most striking AI solutions to FinTech, banks, insurance companies (now called InsureTech) and any other financial services company will probably be those that have the robust & smart financial systems with data security, machine learning (machine conciseness is very far for now) and strong analytics features in place. AI technology such as specialized hardware, AI based operating systems, strong and large data analytics tools for big data, machine learning algorithms for machine intelligence, payment intelligence, data intelligence and info-security intelligence are being used in fintech to augment tasks that people already perform. With AI power to enable security features of mobile payments mean the technology could gain traction in other areas of B2B payments and escalate blockchain to generalize, any previous application of AI, but now the AI "owns itself".


The Amazing Ways Coca Cola Uses Artificial Intelligence And Big Data To Drive Success

@machinelearnbot

The Coca Cola Company is the world's largest beverage company selling more than 500 brands of soft drink to customers in over 200 countries. Fruits of this research were unveiled earlier this year when it was announced that the decision to launch Cherry Sprite as a new flavor was based on monitoring data collected from the latest generation of self-service soft drinks fountains, which allow customers to mix their own drinks. As sales of sugary, fizzy drink products have declined in recent years Coca Cola has also hooked into data to help produce and market some of its healthier options, such as orange juice, which the company sells under a number of brands around the world (including Minute Maid and Simply Orange). Speaking at Mobile World Congress this year, global senior digital director Mariano Bosaz said "content creation is something that we have been doing for a very long time – we brief creative agencies and then they come up with stories … what I want to start experimenting with is automated narratives."


Flipboard on Flipboard

#artificialintelligence

The Coca Cola Company is the world's largest beverage company selling more than 500 brands of soft drink to customers in over 200 countries. Fruits of this research were unveiled earlier this year when it was announced that the decision to launch Cherry Sprite as a new flavor was based on monitoring data collected from the latest generation of self-service soft drinks fountains, which allow customers to mix their own drinks. The company combines weather data, satellite images, information on crop yields, pricing factors and acidity and sweetness ratings, to ensure that orange crops are grown in an optimum way, and maintain a consistent taste. Speaking at Mobile World Congress this year, global senior digital director Mariano Bosaz said "content creation is something that we have been doing for a very long time – we brief creative agencies and then they come up with stories … what I want to start experimenting with is automated narratives."


This company wants to grow AI by using blockchain

#artificialintelligence

In the next phase of artificial intelligence development, the firm behind Sophia the robot -- who once said she wanted to destroy humans -- is integrating blockchain into its work. Hanson Robotics' new project is a marketplace in the cloud where AI developers can put up their work, which can be tapped by others to enhance existing robots or build new ones, the company's chief scientist, Ben Goertzel, told CNBC on Monday. "At Hanson Robotics, we've made a cloud-based infrastructure for robot intelligence, but now we're looking to take that to the next level and we've launched a new project called SingularityNET, which is AI and blockchain together," Goertzel said at the sidelines of Switch Singapore. "It's a decentralized, open market for AIs in the cloud so anyone who develops an AI can put it into the SingularityNET, wrap it in our cryptocurrency-based smart contract and then the AI they put there can help to serve the intelligence of robots like Sophia or any other robots or any software programs that need AI," he added.


Intelligence Agencies Bank on AI, Social Media to Process Data

#artificialintelligence

AI is not only changing the way intelligence agencies process data but also how they gather it. Collecting data from social media by intelligence agencies is nothing new. In fact, data gathered from social media presently makes up a huge percentage of overall data collected. "If we were to attempt to manually exploit the commercial satellite imagery we expect to have over the next 20 years, we would need eight million imagery analysts," Cardillo said this as a remark to the anticipated exponential increase in the amount of data that can be collected with advancements in satellite and signals intelligence collection technology.


The Current State of Machine Intelligence 3.0 – Shivon Zilis – Medium

#artificialintelligence

As has been the case for the last couple of years, our fund still obsesses over "problem first" machine intelligence -- we've invested in 35 machine intelligence companies solving 35 meaningful problems in areas from security to recruiting to software development. Unlike traditional software, we still lack frameworks for management to decide where to deploy machine intelligence. The real danger of machine intelligence is that executives will make bad decisions about what machine intelligence capabilities to build. Established companies struggle to understand machine intelligence technology, so it's painful to sell to them, and the market for buyers who can use this technology in a self-service way is small.


Max Tegmark: 'Machines taking control doesn't have to be a bad thing'

The Guardian

We're in a situation where something truly dramatic might happen within decades – that's a good time to start preparing With his friend the Skype co-founder Jaan Tallinn, and funding from the tech billionaire Elon Musk, he set up the Future of Life Institute, which researches the existential risks facing humanity. Life 2.0, or the cultural stage, is where humans are: able to learn, adapt to changing environments, and intentionally change those environments. But if trends continue apace, then it's not unreasonable to assume that at some point – 30 years' time, 50 years, 200 years? Yet if we're looking at creating an intelligence that we can't possibly understand, how much will preparation affect what takes place on the other side of the singularity?


This company wants to grow A.I. by using blockchain

#artificialintelligence

In the next phase of artificial intelligence development, the firm behind Sophia the robot -- who once said she wanted to destroy humans -- is integrating blockchain into its work. Hanson Robotics' new project is a marketplace in the cloud where AI developers can put up their work, which can be tapped by others to enhance existing robots or build new ones, the company's chief scientist, Ben Goertzel, told CNBC on Monday. "At Hanson Robotics, we've made a cloud-based infrastructure for robot intelligence, but now we're looking to take that to the next level and we've launched a new project called SingularityNET, which is AI and blockchain together," Goertzel said at the sidelines of Switch Singapore. "It's a decentralized, open market for AIs in the cloud so anyone who develops an AI can put it into the SingularityNET, wrap it in our cryptocurrency-based smart contract and then the AI they put there can help to serve the intelligence of robots like Sophia or any other robots or any software programs that need AI," he added.


Can AI help strike the right emotional tone for content?

#artificialintelligence

A different Forrester report titled "The Top Emerging Technologies For B2C Marketers" suggests AI-based content intelligence solutions hold the potential to provide marketers with a holistic, automated approach to creating, managing and optimizing content -- a strategy it refers to as "content intelligence." An example of content intelligence in practice is the IBM Watson Content Hub which uses cognitive capabilities to understand and learn about the data in a company's content management system in order to automatically tag the image, video and document content based on millions of previous examples. IBM recently announced an upcoming video enrichment service that will tap a number of Watson APIs including Tone Analyzer, Personality Insights, Natural Language Understanding and Visual Recognition to generate video content insights with even deeper understanding of context and content than currently available. The value is in understanding down to an individual what content is resonating in order to create a deeper level of engagement with customers and drive measurable return on personalization, said Sachs, calling the metric ROP.