If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The impressive promise that smart contracts hold for the future of business will only grow more impressive in the near-future as blockchain services that make such clever agreements possible in the first place become more advanced. Businesses will rely on smart contracts for a wide number of reasons, but nowhere will they be more important than when it comes to negotiating complex agreements with other businesses. These companies will cut the costs of working together by removing third parties from the equation, as smart contracts will be able to manage and adjust themselves with minimal to no human oversight.
Gartner Supply Chain Executive Summit -- IBM (NYSE: IBM) today launched Business Transactional Intelligence (BTI), an AI-powered solution that offers anomaly detection and visualization capabilities for mitigating supply chain disruptions and accelerating data-driven decision making. BTI, part of IBM's Supply Chain Business Network, enables companies to garner deeper insights into supply chain data to help them better manage, for example, order-to-cash and purchase-to-pay interactions. The technology does this, in part, using machine learning to identify volume, velocity and value-pattern anomalies in supply chain documents and transactions. Machine learning is a method used to teach artificial intelligence how to learn from data, spot patterns and make decisions on its own. This enables companies to discover potential issues faster and resolve them before they escalate and impact the business.
A new survey of software engineers from careers firm Hired shows they want to learn machine learning, love Python, hate PHP and make a lot of money, especially in San Francisco where search engineer salaries average about $157,000. Furthermore, according to the 2019 State of Software Engineers Report, blockchain engineers are highly sought after, seeing a huge 517 percent year-over-year increase in demand, far exceeding the 132 percent increase in demand for No. 2, security engineers. Hired said it publishes the report to fuel career conversations among developers and to provide data they can use to achieve goals. Topping the list of those goals is learning machine learning. "Machine learning is the No. 1 technology engineers want to learn," the report said.
The insurance industry is facing tumultuous times with technology shaping the way it operates. And, in a bid to cover the possibilities and challenges of inculcating artificial intelligence and machine learning in the insurance industry, we have already learned a lot in this four-part series. In the introductory piece, we analyzed the existing scenario of the insurance industry, considered the challenges it faces today and skimmed over the opportunities AI presents to eliminate hurdles in insurance on the path to digital. We followed that up with a second in-depth article that detailed how artificial intelligence is helping the insurance industry prevent frauds and false claims – a pressing challenge for organizations in the space. We concluded the report with a glance over the possibilities further down the road at the intersection of AI and insurance companies.
This week, we caught up with Sean Culey, Author of "Transition Point: From Steam to Singularity" and Keynote Speaker on Thriving in the Digital Age: The Need for a Copernican Business Revolution at the upcoming Internet of Manufacturing UK event, taking place in Farnborough, May 14-15. Sean is a global keynote speaker on the topic of disruptive technologies and their impact on supply chains, businesses, the economy and society. He is the author of'Transition Point', a detailed look at the causes of technological disruption and the impact it has on our society, and how the current wave of technological change will completely disrupt our business models, economy and society at large. Sean is also the author of numerous articles published in magazines such as Forbes and The European Business Review. What are the key technologies that you believe will transform industry over the next 5 years?
Domino's Pizza has collaborated with blockchain AI platform SingularityNET to integrate AI algorithms and solutions in its Singapore and Malaysia operations. The US pizza chain aims to improve its supply chain processes and logistics in the two southeast Asian countries, conducting feasibility studies, running AI-focused workshops by incorporating advanced technologies, and developing new algorithms that will benefit business processes. Domino's has more 260 stores and 4,000 employees in Singapore and Malaysia and is expanding business rapidly. The SingularityNET system is claimed to greatly help both divisions enhance their growth and efficiency by including unique algorithms in its AGI ecosystem into its operations. Henceforth, both of these divisions of Domino's will use AGI utility token, which was created to enable some basic functions of SingularityNET's decentralised marketplace, namely, frictionless and publicly-auditable transactions between AI services, and the incentivisation of development for new AI services.
Artificial intelligence was first thought of in the 1950s, but it was only since the 90s that any real progress was made. Today, AI has filtered through the market chain and is now available as a consumer product in the form of virtual assistants like Siri and Alexa. Despite the great interest in the field, AI hasn't grown as fast as other technologies over the decades.
You may have experimented with blockchain projects to drive transparency in your supply chain or efficiencies in cross-border payments. You may have live AI-driven applications in customer services or backend automation. You may even be considering migrating your core infrastructure into the cloud to increase storage efficiencies and speed. But have you considered how these technologies should be integrated with each other to drive your core strategy now, and not just the periphery or on a ten year horizon? The driver for innovation projects in incumbent organisations is largely to break down silos.
The research on improving artificial intelligence(AI) has been going on for more than a decade. However, it was not until the last few years before developers were able to create smart systems which showed the true potential of artificial intelligence(AI) that closely resembled capabilities of humans. The biggest reason for the revolution in AI is the advancements in big data. With the recent developments in big data have allowed businesses to organize a large amount of data into structured components which can be processed by computers very quickly. Another technology which has the potential for revolutionizing and transforming artificial intelligence is blockchain.
In China, blockchain technology is increasingly employed to settle court cases, local news outlet Global Times reported on April 25. Speaking at the 2019 Forum on China Intellectual Property Protection, Zhang Wen, president of the Beijing Internet Court -- which was established in September 2018, and has since processed 14,904 cases -- reportedly said that the court employs technologies such as artificial intelligence (AI) and blockchain to render judgement. Zhang reportedly told the Global Times that "of the 41 cases concluded [with blockchain technology] so far, parties chose to settle out of court rather than litigate in 40 cases with compelling evidence from blockchain. He also noted that the court had deployed blockchain in 58 cases to collect and provide evidence. "In the current use of AI as an assistant to make rulings, efficiency is prioritized over accuracy.