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) …
Several weeks ago, Jefferies' analyst James Kisner published a scathing report, shedding light onto the shortcomings of IBM Watson. Kisner focused on the $60 million disastrous Watson project for MD Anderson, and highlighted how much IBM is lagging behind Amazon and Apple. As John Mannes pointed out on TechCrunch, "things would look much worse if Google, Microsoft and Facebook were added to this table." He also eloquently summarized the common pitfall in our approach to AI: "Reality is that AI isn't an amorphous black hole that sucks in unstructured data to produce insights. A solid data pipeline and a domain-specific understanding of the AI business problem at hand is table minimum."
Sophia, the eerily realistic humanoid robot by Hanson Robotics, is asking the public to help fund her Artificial Intelligence (AI). In a video released today, Sophia announced the details of an upcoming token sale for SingularityNET, an open source platform for AI and machine learning that powers her "brain" and endless other robots. Blockchain technology will manage transactions on this open AI ecosystem. You can this executive guide as a PDF (free registration required). The token sale will begin on Dec. 8, 2017, and there is no minimum contribution amount, so anyone can participate.
Extreme automation and global connectivity are the needs of the hour and therefore artificial intelligence (AI) is imperative. AI is an amalgamation of several technologies that enable smart machines to perform human-like tasks by sensing, understanding, acting, and learning, thereby making life much simpler. The technologies constituting AI include machine learning, natural language processing, speech recognition, image processing, intelligent agents, and chatbots. AI has transformed the way businesses run, compete, and thrive today. It improves productivity, greatly helps reduce errors, allows to perform difficult and laborious tasks, and increases customer satisfaction.
Now that the payola-swilling, bribery-swaddled, kneepad-wearing FCC Chairman -- the corporate shill also known as Ajit Pai -- his done his part in securing a well-paid no-show job at the media company of his choice once he leaves government, it's time to discuss how to pay him back for selling out the American people in the name of free markets. If Ajit Pai loves free markets so much, let him choke on them. I give you self-driving cars and traffic markets, the ultimate tool of non-violent protest and vengeance. Because, in our utopian future, suffering won't be defined by physical pain but by inconvenience. For those ignorant of the neutrality debate, it's basically this: should the internet be regulated like a public utility?
The customer experience in banking is about to get a lot more personal, as shown by an investment announced Wednesday in technology that will act as the "brain" behind AI financial services applications. Kasisto – a company that's behind a conversational AI platform about around a dozen financial institutions globally use – just completed a $17 million Series B funding round. It's yet another sign that customers' future interactions with their banks are more likely to be with non-humans. "It not only helps the bank become more informed of their end consumer, it serves the individual better, and in so doing reduces their cost structure and potentially generates additional revenue," said Patricia Kemp, co-founder and general partner of Oak HC/FT, the venture capital firm that led the funding round. "It's strategically important for banks to improve their mobile experiences and improve their online experiences."
Software developers are quickly adopting Artificial Intelligence (AI) technologies, such as natural language understanding, sentiment analysis, speech recognition, image understanding and machine learning (ML). Across a broad range of industries and sectors, AI-infused software applications and cloud services drive innovative customer experiences, augment human capabilities and transform how we live, work and play. New tools, cloud-hosted APIs and platforms make it even easier to build such applications. Modern AI applications live at the intersection of cloud computing, data platforms and AI tools. The cloud provides a powerful foundation for elastic compute and storage, while supporting special-purpose hardware such as graphics processing units (GPUs) that accelerate demanding calculations.
One of the ways AI is and will continue t be helpful in the field of healthcare is allowing medical professionals the ability to create treatment plans as well as discovering the best suited methods for helping their patients; instead of having to battle the tread-wheel of bureaucracy, nurses and physicians can focus on doing their actual jobs. Since we are in the age of big data, patient information is becoming valuable as tech giants, such as IBM and Google, are becoming more involved in acquiring this information; therefore, companies are using AI in the field known as patient data mining in a variety of ways. The AI research branch of the company recently launched a project known as Google Deepmind Health which focuses on mining medical records with the goal of providing faster and better health services; the project can go through hundreds of thousands of medical data within minutes. Also, Google's life sciences are working on a data-collecting initiative that aims to apply some of the same algorithms used to power Goggle's search button to analyze what it is that makes a person healthy. Included in this is experimenting with technologies that monitor diseases such as a digital contact lens that might detect levels of blood sugar.
Great customer service builds trust, inspires brand loyalty, and earns repeat business. So it's no surprise that, according to Deloitte, close to 90 percent of organizations name improving the quality of their customer service as a strategic focus. Customer service helpdesks know this all too well. They often deal with an ongoing flow of tickets that sometimes have little information or context, which can slow down agents and impact service quality. What if you could use historical data to predict key KPI or fields of a support ticket to handle it in the most efficient way?
In the past few years, developments in technology have brought us closer to the hyper-connected world that futurologists imagined in the 1950s. Self-driving cars, computers that can converse in real-time and hyperloop transportation are among the developments that will shape our future beyond what we thought possible. Of all the major trends, the Internet-of-Things (IoT) is making the most visible and immediate impact and will be worth $270 bln by 2020. Connected devices, homes and vehicles are just around the corner, and as anyone with experience in the technology industry knows, this means a lot of second-order complexity will have to be solved. Economies, platforms and payment systems will have to be integrated.
The beta release of Semantria Storage & Visualization gives customers a full-stack offering that connects Lexalytics' existing products--AI Assembler, Salience, Semantria and Semantria for Excel--with a flexible search and reporting framework. Semantria Storage & Visualization features filtering and search of processed content, enabling analysts to sort out their desired content; content storage and aggregation with the capability of storing billions of documents in one place; and reporting and graphical representations of data insights to enable sharing across teams and departments, including templates for Tableau and other BI platforms.