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) …
As enterprises look to deploy distributed ledgers, the industry's largest IT providers have launched blockchain-as-a-service (BaaS), offering a way to test the nascent technology without the cost or risk of deploying it in-house. The BaaS offerings could help companies who don't want to build out new infrastructure or try to find in-house developers, which are in hot demand. "The thing to be thinking about is that we're still in the early innings of this blockchain wave," said Bill Fearnley Jr., IDC's research director for Worldwide Blockchain Strategies. "There are very few people with multiple years of deep, hands-on experience." While heavily hyped, blockchain technology – which gained its initial notoriety from bitcoin cryptocurrency – has the potential to offer a new paradigm for the way information is shared; tech vendors and companies are rushing to figure out how they can use the distributed ledger technology to save time and admin costs.
Now that artificial intelligence is living up to the potential that future-minded commentators have touted for a long time, many healthcare providers are considering how to factor AI and big data projects into their processes to improve care and increase efficiency. However, investing in one platform or one focus area can be risky because of the pace of change. Putting millions or billions into one platform or project, which could be obsolete or fall flat in a few years is a huge risk. Nooman Haque, Managing Director for Healthcare and Life Sciences at Silicon Valley Bank believes the industry needs "runaway successes" to drive wider global adoption. The key issue for me is around workflow.
Cloud computing and the Internet of Things (IoT) have spent the last several years in a sort of maximum-acceleration race where they've lapped the other players several times over and have only one another to measure against. Neither is slowing down, particularly the IoT. According to analysis firm Gartner, the number of IoT devices will hit 20.8 billion by 2020. The world population is expected to reach 8 billion in 2020, meaning there will be 2.5 IoT devices per person on the entire planet. In 2016, the IoT was growing at the rate of 5.5 million new things getting connected every day.
Algorithmia today announced the commercial availability of a new tool to help companies take their machine learning models from experimentation to production. Called the Algorithmia AI Layer, the system is designed to help companies deal with the operation, integration, security, scaling, and other tasks around bringing machine learning out of the lab. It's a problem that comes up when businesses are ready to start implementing the AI models that they've built, which can often take a while. Algorithmia's own business over the past several years has positioned it to provide this AI layer. The Seattle-based startup has been operating a massive marketplace for intelligent algorithms (hence the name), which means that the team had to build a system just for running machine learning models in production with security, isolation, scalability and other key performance traits built in.
The IT infrastructure landscape is evolving rapidly. While some may imagine infrastructure is only about stacks of hardware locked away in data centers, it comprises disruption and innovation in every area, from servers and storage to networking and software. In a recent report by McKinsey, researchers highlight trends that are giving rise to such disruption and innovation. They have identified ten trends that are already having a major impact on IT infrastructure and will bring even more disruption over the coming years. Excepert from the study given below.
As overall cloud revenue increases, vendors are forced to offer more services to maintain their completive edges. The cloud market is full, and with no expectations for the emergence of another "megacloud," the existing leaders need to fight for relevance. The next way to do so is AI. Companies such as Intel and Salesforce are tapping into startups to eventually provide AI technology to cloud providers. This enables chip providers to explore AI innovation while avoiding compute resource expenses.
Video: Firefox Quantum will give you a faster browser but there's a price to pay Almost three years ago to the day, Mozilla switched a decade-long search strategy that placed Google as Firefox's global default search provider and began carving up territories. It signed a deal for Yahoo to be the default for US Firefox users and left Google as the default for the rest of the world, except Russian and China. Now, Mozilla has given Yahoo the shove and reinstated Google as the default for users in the US. The change in the default US search provider came as Mozilla launched Firefox Quantum, version 57, a faster and lighter browser thanks to a major overhaul of the rendering engine, new multi-core support, and more efficient handling of tabs. Mozilla announces end of life for the extended support version of Firefox for Windows XP and Vista.
In recent years, tech giants such as Amazon, Google, Microsoft and IBM (along with a slew of startups) have all begun to offer what's known as Artificial Intelligence as a service (AIaaS). These services, in a nutshell, make a wide range of AI algorithms available to the public. Examples for this are algorithms for classification, regression, and Deep Learning – a modern learning algorithm that relies on Artificial Deep Neural Nets. As more and more companies begin to make use of AlaaS, a better understanding of how it can be best integrated into your own business is the difference between having a massive cost-saver and a massive headache. Companies once had to spend a lot of time producing their own AI applications, and did so at great expenditure.
Automation has been relieving the strain on human hands, backs and knees for generations. But until recently, those whose jobs required high-level cognitive skills have been able to rest assured that no machine or program could possibly replace their ability to make nuanced decisions based on the evaluation of complicated, sometimes conflicting, data. That was before artificial intelligence (AI) rose to the fore. It appears possible--if not probable--that advanced algorithms will one day replace "mid-level" brainpower as well. It begs the question many have already asked: could robots someday replace highly deductive roles such as doctors and nurses?
In a new report, Predictions 2018: IoT Moves From Experimentation To Business Scale, Forrester Research predicts that the IoT will become the backbone of future customer value, the IoT infrastructure will shift to the edge and to specialized IoT platforms, developers will have a significant impact on platforms and initiatives, and security will remain a key concern. Here's my summary of what Forrester predicts will happen to IoT in 2018: Enterprises will ramp up their efforts to pilot and roll out voice-based services to consumers. The complexity, breadth and quality of voice-based services from the Fortune 500 will grow in 2018 with available services likely doubling. Financial services and other industries that demand authentication for anything more than a simple task will lag. New European guidelines will give the green light for commercializing IoT data.