Huawei has unveiled its new smart cities digital platform utilising artificial intelligence (AI) and Internet of Things (IoT) capabilities, which it said could be used across smart public safety, environmental protection, transportation, government, education, and agriculture. Huawei's AI Digital Platform connects what it calls the brain, or command centre; the central nervous system, or network; and the peripheral nervous system, made up of sensors across a city. "Just like an operating system, the platform is compatible with different city sensors, creates a city digital twin, and supports diverse city applications," Huawei Enterprise Business Group VP Ma Yue said. The smart cities digital platform combines AI, IoT, big data, a geographic information system, video, cloud, converged communications, and security. "Huawei has also developed a middleware platform to provide services to software application partners. This is designed to help application partners quickly develop upper-layer applications to accelerate transformation and innovation in city management, city services, and industry development," the Chinese networking giant added.
AI is a hotly debated topic in every conversation, so much so that we have moved from saying'there is an app for that' to'there is an AI for that'. Oliver Schabenberger, chief operating officer and chief technology officer at SAS, observes how AI has permeated everyday discourse in recent years. Yet, AI has not always been talked about this way. An overhype of the technology led to'AI winter' in the 1980s, he says in his keynote at the Analytics Experience conference this week in Milan. During cocktail gatherings, saying one worked in AI could kill a conversation.
"I think we are in fact building this AI-first enterprise this technology will find its way into many fundamental processes of the businesses that we all run," she said. "So when I say let's make it boring, I actually think that's what makes it more exciting." There isn't anything magical or mysterious about AI, Mason emphasizes. AI is "computer programs that are built on top of data that improves with the introduction of more data into those systems and feedback loops. We are not talking about some actual recreation of human intelligence there's some kind of you know science fiction-type thing."
One employee traveling for work checked his dog into a kennel and billed it to his boss as a hotel expense. Another charged yoga classes to the corporate credit card as client entertainment. A third, after racking up a small fortune at a strip club, submitted the expense as a steakhouse business dinner. These bogus expenses, which occurred recently at major U.S. companies, have one thing in common: All were exposed by artificial intelligence algorithms that can in a matter of seconds sniff out fraudulent claims and forged receipts that are often undetectable to human auditors--certainly not without hours of tedious labor. AppZen, an 18-month-old AI accounting startup, has already signed up several big companies, including Amazon.com Inc., International Business Machine Corp., Salesforce.com
In many ways, artificial intelligence (AI) is already influencing digital marketing in general, and content marketing in particular. But the truth is, there is so much more to come – so many more changes and improvements that AI will surely bring to content marketing. In this blog post, I'm going to explore some of these changes in order to try to understand what the future holds – read on to discover the 3 ways that artificial intelligence will change content marketing. Before I can discuss the effects of artificial intelligence – also known as AI, machine intelligence and in some cases, machine learning - on content marketing, it's important to first understand what exactly artificial intelligence is. So, what is AI, exactly? Techopedia defines it as "an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.
SAP S/4 HANA's latest cloud ERP release is the first volley in adding more robotics process automation into the enterprise software vendor's portfolio. Last month at SAP TechEd, the company outlined its investment in intelligent robotics process automation (RPA) with the aim of automating repetitive processes across its suite. SAP's Franck Cohen, SAP's President of Digital Core and Industries, said the company prefers IPA (intelligent process automation) over RPA since it is more malleable to changing data flows. RPA software is captures rules that govern process transactions, manipulate data and transact with computer systems. From there, processes are automated.
IoT, Blockchain and AI are some of the emerging buzzwords in the trending technology industry. These technologies have indeed brought in a revolution that paves the way not only for the present but also for the future. With these technologies emerging and making a promising move towards the future, the mobile app development industry is offered challenges in order to incorporate these technologies effectively and design the mobile app in such a way that the benefits of IoT, AI and blockchain technologies can be put to use. IoT, blockchain and AI has something revolutionary to offer, that is accompanies by an array of possibilities as well as opportunities for the mobile app development industry. Some of the possibilities include using the technology of chatbots or context-aware sensors, along with sensors communicating with other nearby devices in the mobile apps.
Despite recent advances and press regarding the field, quantum computing is still veiled in mystery and myth, even within the field of data science and technology. Even those within the field of quantum computing and quantum machine learning are still learning the potential for progress and the stark limitations of current systems. However, quantum computing has arrived in its infancy, and many major companies are pouring money into related R&D efforts. D-Wave's system has been commercially available for a couple of years already (albeit at a price tag of $10 million), and other systems have been opened for research purposes and commercial partnerships with quantum machine learning companies. Quantum computing hardware theoretically can take on several different forms, each of which is suited to a different type of machine learning problem.
To read the full report click here for the digital edition. Enterprises have increasingly adopted AI. This has led to a diverse artificial intelligence ecosystem around the world, involving not only large businesses, but AI startups and venture capitalists as well. Although the different AI players often face dissimilar challenges and opportunities, they have increasingly incorporated artificial intelligence into their operations to capitalize on its many benefits. The "AI in Enterprise" panel gathered speakers from Fenox Venture Capital, Markable.AI, TrustPath, Soul Machines, Intel and JD.
OpenAI today announced the launch of Spinning Up, a program designed to teach anyone deep reinforcement learning. OpenAI is well known for making funky-looking agents in virtual environments that learn how to walk on their own such as Humanoid v2 or POLO, a collaboration with University of Washington. Reinforcement learning involves providing reward signals to an agent in an environment incentivized to maximize its reward to meet a goal. RL has played a role in major AI breakthroughs such as Google DeepMind's AlphaGo and agents trained in environments like Dota 2. Spinning Up includes a collection of important reinforcement learning research papers, a glossary of terminology necessary to understand RL, and a collection of algorithms for running exercises. The program is being launched not just to help people learn how reinforcement learning works, but to make progress towards OpenAI's general goal of safely creating artificial general intelligence (AGI) by involving more people from fields beyond computer science.