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) …
Steady advances in machine vision techniques such as convolutional neural networks powered by graphics processors and emerging technologies like neuromorphic silicon retina "event cameras" are creating a range of new predictive monitoring and maintenance use cases. We've reported on several, including using machine vision systems to help utilities monitor transmission lines and towers linked to wildfires in California. Now, AI software vendor Ignitarium and partner AVerMedia, an image capture and video transmission specialist, have expanded deployment an aircraft-based platform for detecting railway track obstructions. The AI-based visual "defect detection" platform incorporates Ignitarium's AI software implemented on Nvidia's edge AI platform used to automatically control onboard cameras. The system is designed to keep cameras focused on the track center during airborne inspections.
As Artificial Intelligence is becoming a mainstream and easily available commercial technology, both organizations and criminals are trying to take full advantage of it. In particular, there are predictions by cyber security experts that going forward, the world will witness many AI-powered cyber attacks1. This mandates the development of more sophisticated cyber defense systems using autonomous agents which are capable of generating and executing effective policies against such attacks, without human feedback in the loop. In this series of blog posts, we plan to write about such next generation cyber defense systems. One effective approach of detecting many types of cyber threats is to treat it as an anomaly detection problem and use machine learning or signature-based approaches to build detection systems.
With a holistic transformation strategy, AI can create wonders. Over the past decade, digital transformation has been changing and re-inventing the way organisations conduct business. Essentially, it is the process of leveraging digital technology to create new or modify existing customer experiences as well as business culture and processes, to meet changing customer and market needs. Digital transformation is a foundational change in how an organisation delivers value to its customers. Here's where artificial intelligence (AI) is poised to become the game changer.
It was clear to the University of New South Wales (UNSW) that at the end of 2018, when it was developing its data strategy, it needed to improve the turnaround time it took to get information into the hands of decision makers. But to do that, the university had to set up a cloud-based data warehouse, which it opted to host in Microsoft Azure. The cloud-based warehouse now operates alongside the university's legacy data warehouse, which is currently hosted in Amazon Web Service's (AWS) EC2. "Our legacy data warehouse has been around for 10 to 15 years. But we started looking at what platforms can let us do everything that we do now, but also allows us to move seamlessly into new things like machine learning and AI," UNSW chief data and insights officer and senior lecture at the School of Computer Science and Engineering, Kate Carruthers said, speaking to ZDNet.
Splice Machine develops a machine learning-enabled SQL database that is based on a closely engineered collection of distributed components, including HBase, Spark, and Zookeeper, not to mention H2O, TensorFlow, and Jupyter. Customers use it to build complex AI apps that include transactional, analytical, and ML components. The company just announced a Kubernetes operator for customers running in private cloud environments. Zweben said during a demo of Splice Machine's Kubernetes Ops Center. "When you pause on Splice Machine, it drains Kubernetes nodes and makes them available for other applications to use." Support for Kubernetes is not new at Splice Machine.
Modernization of technology can make a significant impact across many parts of the insurance industry, including underwriting, policy administration, and claims. McKinsey research shows that the potential benefits of modernization include a 40 percent reduction in IT cost, a 40 percent increase in operations productivity, more accurate claims handling, and, in some cases, increased gross written premiums and reduced churn. 1 1. Technology modernization is vital, but--given the significant value at stake and the size of the investment--it should be approached with a healthy dose of caution. Indeed, many insurers miss out on the full benefits of the program for several reasons. First, they don't have a clear view of what sort of actions are needed or the impact such actions could have, which may lead them to undersell both the business value at stake and what is needed to capture it. This approach can enhance the customer experience somewhat, but it doesn't address core challenges such as the ability to reconfigure products quickly or scale users rapidly. is all that is needed, only to find that some capabilities (such as rapid product configurations) require modernization of core systems.
By now most of us understand that, in our current era, artificial intelligence (AI) and its subset machine learning (ML) have little to do with human intelligence. AI/ML is all about recognizing patterns in data and automating discrete tasks, from algorithms that flag fraudulent financial transactions to chatbots that answer customer questions. IT leaders appreciate the enormous potential. According to a CIO Tech Poll of IT leaders published in February, AI/ML was considered the most disruptive technology by 62 percent of respondents and the technology with the greatest impact by 42 percent – in both cases double the percentage of AI/ML's nearest rival, big data analytics. An impressive 18 percent already had an AI/ML solution in production.
Today's digital economy is powered by data, which is produced in abundance by both individuals and enterprises and stored in vast data centres, according to GlobalData, a leading data and analytics company. The company's latest report, 'Big data – Thematic Research', details how several prominent business people and a number of leading publications have described data as the new oil, capable of generating significant value if used in the right way. Many big data vendors have had to contend with a growing market perception that data governance, security, and management have taken a back seat to accessibility and speed. In response, most companies are now accepting the challenge and openly prioritising data governance. This is expected to result in multiple disparate solutions being replaced by single data management platforms, leading to efficient scalability, collection, and distribution of data.
Artificial intelligence technology has reached the point where it's less of a trend than a business necessity across virtually every business. In the next four years, it is expected that AI's industry growth will start to explode and its impact on business and society will begin to emerge. Businesses looking for an effective AI development partner often face difficulties connected with an oversaturated market and a multitude of vendors offering similar services as choosing the right service provider you should consider many factors, starting from the location of the company, it's size, rates, technologies they use, their expertise, and so on. The companies mentioned below are at the forefront of digital transformation. And some of them provide best-in-class AI solutions, products, and consulting services that will unleash even more innovations in the years to come.