According to a new court ruling, Google’s use of Java in Android “was not fair” use, meaning Google is now potentially on the hook for billions of dollars in damages.
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The Federal Circuit has ruled for a second time in Oracle v. Google, the software copyright lawsuit over Google’s Android platform. The new decision reverses the district court yet again and sends the case back for a third trial to determine damages for Oracle. In the last trial, Oracle sought almost $ 9 billion in damages.
The litigation has been dragging on for about eight years now, bouncing up and down through appeals and two whole jury trials. It all started because Google wanted to make the Android platform compatible with apps written in the Java language. Rather than license the Java platform from Sun Microsystems, which would allow programs written in Java to run, Google instead chose to write its own version (also known as a…
Oracle is automating and AI-enables its cloud platform. But is AI simply the new direct debit? Chris Middleton reports.
Oracle has announced that it is rolling out AI-based automation across its Platform as a Service (PaaS) cloud offerings.
The enterprise vendor says that the new machine-learning-based additions will enable its cloud platform and developer applications to self-optimise, maintain, update, and patch.
The move follows the launch of its ‘self-driving’ database last year, and extends Oracle’s autonomous capabilities across much of its cloud product line.
Oracle’s stated aim is to reduce customer costs while enabling in-house IT teams to refocus on adding value to the business – in traditional ‘cloud hype’ style.
“We want to provide autonomous capabilities to eliminate the human labour associated with provisioning, upgrades, backup, recovery, and troubleshooting,” said Amit Zavery, executive VP of product development for Oracle Cloud.
A core challenge with PaaS is that “a lot of patching doesn’t happen automatically and a lot of systems don’t get upgraded regularly,” he added.
Also included in the product refresh are tools to enable developers to add chatbots to applications more easily, with a library of use cases that can be customised.
“Once a user defines the kinds of things he wants to integrate, we can take over connecting systems, doing the mapping, and providing endpoint connectivity,” said Zavery.
New security tools also use machine learning, said Oracle, and analyse user behaviour patterns to intercept data leaks.
This is in line with the new security trend of behaviour modelling. This is essential in large IoT applications, for example, where it may be impossible to secure a range of smart devices independently.
“The future of tomorrow’s successful enterprise IT organisation is in full end-to-end automation,” said Zavery.
“We are weaving autonomous capabilities into the fabric of our cloud to help customers safeguard their systems, drive innovation, and deliver the ultimate competitive advantage.”
Oracle also announced that it is opening 12 new data centres worldwide.
Oracle is making a big bet on machine learning and autonomy in the same way that IBM has refocused its business on cognitive services and Microsoft is putting AI centre stage.
Oracle CEO Mark Hurd emphasised the point on Monday when he predicted that more than half of all enterprise data will be managed autonomously by 2020. “AI will become integrated into everything. It’s not a question of if, but when,” he added. “This has everything to do with macroeconomics, business model strategy, and technology,” he said.
In other words, business innovation and agility will be essential if and when traditional sources of growth dry up.
Which brings us to Oracle itself…
While its on-premise revenues remain five times higher than those of its cloud portfolio, Oracle’s traditional growth in on-premise tech has hit a plateau. However, its quarterly cloud revenues are up 44 per cent year on year.
So Oracle itself is being forced to get smart. After 10 years of Oracle supremo Larry Ellison slamming the cloud as vapourware, the all-too-public u-turn is complete. In traditional Oracle style, it has simply branded its logo on the cloud and pretended the previous decade was a dream.
But buyer beware. When it comes to the new mantra of ‘AI with everything’, all enterprise buyers of platform, infrastructure, and software services should consider this. As automation grows, transparency and trust will become critical issues, regardless of who the vendor might be.
When any services can simply upgrade themselves or add new features autonomously, who is approving any extra costs and any new vendor revenue streams? In these circumstances, AI could simply become the new direct debit, with all the associated problems that may ensue.
There’s no suggestion that any vendor would use AI to print money for themselves; merely that customers should manage their deals carefully and keep an eye on Ts & Cs.
IoTBuild is coming to San Francisco, CA on March 27 & 28, 2018 – Sign up to learn all you need to know about building an IoT ecosystem.
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Databases are tricky, even for the companies that make them. Assimilating and storing vast quantities of data requires databases with advanced functionality, unshakable reliability and rock solid backup options. Because if you can’t trust your database… well, you’re in big trouble.
The Next Web
Smart factories and connected warehouses are among the business functions set to benefit from new AI-powered Adaptive Intelligent Apps from Oracle.
Modern artificial intelligence (AI) shouldn’t just be capable of supporting “sophisticated decision science”, but also do it in a way that it is hidden from users and embedded in the software that they use to perform day-to-day work tasks.
That’s the view of Steve Miranda, executive vice president of applications development at tech giant Oracle. At the company’s Oracle Open World 2017 conference in San Francisco, the company has today announced new AI-based apps for employees in finance, human resources, supply chain, manufacturing, commerce, customer service, marketing and sales.
The new Oracle Adaptive Intelligent Apps are built into existing Oracle Cloud Applications, making it possible for “business users from across the organization to quickly and easily take advantage of the latest advancements in artificial intelligence,” said Miranda.
By embedding AI in existing apps, he explained, the company has eliminated the need for integrations in order to combine “first and third-party” data with advanced machine learning.
The announcement builds on the company’s first introduction of its ‘adaptive intelligence’ concept in its customer experience (CX) apps earlier this year. Now, it is expanding the reach of AI across a much wider swathe of its cloud-based enterprise applications.
In theory, any of the business functions set to benefit from these new apps is likely to have some kind of IoT data from connected devices that could potentially prove useful for fuelling AI-based decision-making – but it’s clear that supply chain and manufacturing professionals are particular targets.
In supply chain, for example, new AI capabilities in Oracle’s Supply Chain IoT applications will crunch through data from connected equipment in warehouses and logistics centres. “The applications use predictive analytics and machine learning techniques to detect and analyze key signals in device data and then to act on these insights through their associated business functions and connected processes,” said the company.
In manufacturing, similar thinking applies. New AI-powered capabilities will enable companies to more consistently meet their production goals, based in part on the intelligence that comes from plant floor machinery. According to Oracle: “The new capabilities drive factory and shop floor improvements by demonstrating how incident detection, root cause analysis and smart resolution are performed within minutes in a connected factory.”
Some of the data powering Adaptive Intelligent Apps, meanwhile, will come from the Oracle Data Cloud, which the company claims is the largest third-party data marketplace in the world, with a collection of more than 5 billion global consumer and business IDs and more than 7.5 trillion data points collected monthly.
The market for AI and for AI-enabled applications is “substantial”, according to David Schubmehl, an analyst at market research company IDC. “We expect this to be a rapidly expanding area for both enterprise and commercial development as organizations race to embed predictive and prescriptive capabilities into their applications portfolio to deliver smarter software solutions to customers,” he said.
In other words, this could be a money-spinner for Oracle if its customers prove to get as hooked on AI-based decision-making as the company clearly hopes they will. But big competitors such as SAP, Infor and Microsoft are also working hard to embed AI into the software need to run smart factories and connected warehouses – so AI is fast becoming an arms race.
The quality of ingested data, however, looks likely to be an important differentiator, Schubmehl claims, as it will determine the resulting recommendation, action or output delivered. “Vendors with a strong foundation of first and third-party data to fuel machine learning have a clear and distinct advantage in the market, providing strong, targeted AI-enabled solutions for their customers.”
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Oracle has announced a tie-up with Mitsubishi Electric on smart manufacturing and new AI and machine learning enhancements to its Oracle IoT Cloud offering.
Tech giant Oracle has announced a collaboration with Japanese electronics and electrical equipment manufacturer Mitsubishi Electric to develop an IoT platform for smart manufacturing.
Mitsubishi Electric, it seems, has used Oracle’s cloud technologies to develop a new platform for factory automation, FA-IT Open Platform, which uses edge computing to collect data from machinery and business applications and analyse it on production sites.
The idea here is that Mitsubishi Electric, along with other third-party software partners, can use FA-IT Open Platform to create new applications for manufacturing-sector customers, presumably offering them on a software-as-a-service basis. At the platform’s heart are a number of Oracle technologies, including Oracle Database Cloud, Oracle IoT Cloud, Oracle BI Cloud and Oracle IoT Production Monitoring Cloud.
“Mitsubishi Electric develops advanced technologies and products for rapidly emerging factory automation,” said Toshiya Takahashi, corporate executive group senior vice president for factory automation systems at Mitsubishi Electric Corporation. “By adding Oracle Cloud services to this platform, we believe that it will be possible to visualize factories and build an application development environment. In order to provide the platform to customers early, we will also work with partner companies, including IT companies, to develop applications utilizing the platform.”
Developing such IoT systems from scratch, the two companies believe, is a task that few manufacturers are willing take on their own. Instead, the partners are planning to help them speed up the process by offering ready-to-use smart factory apps.
Oracle has also announced what it terms “significant enhancements” to its Oracle IoT Cloud, to include built-in artificial intelligence (AI) and machine learning capabilities to power so-called digital twin and digital thread capabilities.
The company’s Digital Twin offering gives manufacturers a digital representation of physical assets and equipment, allowing them to see current, historical and predictive data that relates to them, so that they can monitor the health of an asset (a piece of machinery, for example) and how it’s performing. They can also perform ‘what-if’ scenarios, to simulate, for example, what the impact would be on business performance if that asset was taken out of action or, indeed, deployed on more jobs.
The Digital Thread offering, meanwhile, provides a connected business process framework that feeds data from supply chain management (SCM) and enterprise resource planning (ERP) systems, along with assets, so that they can track an asset throughout the entire supply chain process, “from product design and order fulfillment, to manufacturing and product lifecycle management, to warehousing and transportation, to logistics and procurement.”
Oracle also introduced new industry solutions for digital field service, smart connected factories and digital fleet management.
“IoT holds the potential to transform today’s siloed operations into a modern, interconnected, digital set of workflows with real-time visibility and responsiveness,” said Bhagat Nainani, group vice president of IoT applications at Oracle. “Oracle continues to push the boundaries of IoT to help our customers significantly simplify their IoT deployments. By receiving real-time data streams enhanced with predictive insights, they can reach new levels of intelligence and a much quicker realization of ROI.”
Oracle has been staging something of a push on its IoT efforts lately, as have rivals such as SAP and Infor. What these companies, and others, are aiming for is an approach that melds data from devices and sensors with that held in the enterprise applications that make up the bulk of their revenues. The argument is this: IoT devices collect a lot of data, but companies that deploy them don’t currently get enough value back from them – and they won’t, unless they can tie that information in with the data that sits in back-end operational systems.
One of the biggest challenges here, however, is that many manufacturers – particularly large, multinational ones – don’t have a single ERP or SCM platform. They have countless systems, running in siloes, in different regions and individual manufacturing plants. Consequently, the effort to persuade them to standardize on single, global platforms looks set to continue for Oracle and others.
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Software giant Oracle has partnered with Mitsubishi Electric, a manufacturer of electrical and electronic products, to develop an Internet of Things (IoT) platform for smart manufacturing.
Mitsubishi Electric developed its new FA-IT Open Platform for factory automation using Oracle Cloud. The platform uses edge computing between devices and business applications to enable rapid collection, analysis, and utilisation of data at production site.
Toshiya Takahashi, corporate executive group senior vice president, factory automation system, Mitsubishi Electric, said, “Mitsubishi Electric develops advanced technologies and products for rapidly emerging factory automation. Our e-F@ctory concept for integrated automation reduces the total cost of developing, producing and maintaining products. Mitsubishi Electric’s new FA-IT Open Platform is based on edge computing to accelerate IoT utilisation for smart manufacturing.
“By adding Oracle Cloud services to this platform, we believe that it will be possible to visualise factories and build an application development environment,” added Takahashi. “In order to provide the platform to customers early, we will also work with partner companies, including IT companies, to develop applications utilising the platform.”
Additionally, Oracle has upgraded its IoT Cloud solution to include built-in AI and machine learning that powers Digital Twin and Digital Thread capabilities. This new development will enable customers and partners to quickly gain operation-wide visibility and leverage predictive insights from connected assets, which can increase deployment times, reduce costs, improve business outcomes, and accelerate new market opportunities.
This expansion follows the recent introduction of new Oracle IoT Cloud Applications for asset monitoring, connected workforce, fleet monitoring, and production monitoring. Bhagat Nainani, group vice president, IoT Applications at Oracle, said, “Oracle continues to push the boundaries of IoT to help our customers significantly simplify their IoT deployments. By receiving real-time data streams enhanced with predictive insights, they can reach new levels of intelligence and a much quicker realization of ROI.”
The Bloodhound Project, an attempt to smash the world land speed record and get young people excited about science, technology and engineering (STEM) subjects into the bargain, has announced it is teaming up with technology giant Oracle to collect, analyze and broadcast data from more than 500 sensors installed on the Bloodhound Super Sonic Car (SSC).
The project is the vision of Richard Noble, a man with an impressive track record in high-risk ventures. He was the brains behind the Thrust2 program that brought the world land speed record back to Britain in 1983, as well as the ThrustSSC first-ever supersonic land speed record program in 1997, which saw driver Andy Green reach a speed of 763 miles per hour in the Nevada desert.
Now, Noble’s set his sights on hitting 1,000 miles per hour on land, to set a new world land speed record. This record is regulated by the Federation Internationale de l’Automobile, or FIA for short. The organization is strict in its definition of a ‘land vehicle’. It must be a “vehicle propelled by its own means in constant contact with the ground (or ice), either directly by mechanical means or indirectly by ground effect, and the motive power and steering system of which are constantly and entirely controlled by a driver on board the vehicle.”
The Bloodhound Super Sonic Car (SSC) is engineered to fit that description – with the added advantage of being fitted with more than 500 sensors that report on its condition and performance.
This is important, because Noble is aiming to do more than just break records. The data collected from these sensors will be provided to classrooms around the world, giving students an insight into the technologies behind the world’s fastest land vehicle as it rockets towards 1,000 miles per hour.
The work of capturing their imagination is already under way. The Bloodhound Project has already become a leading STEM resource in UK education, having been showcased to over 100,000 pupils in UK schools already. Millions more are engaged worldwide, the Project claims, and the number is expected to soar when the car begins track tests in Newquay, Cornwall in October this year, in pursuit of its first goal of hitting a more modest 200 miles per hour.
According to Noble: “The aviation and space races of the 1960s inspired a wave of young people to pursue careers in science and engineering, and our hope is that Bloodhound will do the same at a time where technical skills are in painfully short supply.”
“We want students to feel that they are right there with us as we chase 1,000 miles per hour, and by working with Oracle, we’ll be able to deliver on that promise.”
As the Bloodhound Project’s new cloud partner, Oracle is providing much of the back-end infrastructure needed to slice and dice the data collected from the car’s sensors and share it with budding engineers and scientists in schools.
But this technology also serves a critical role in the world record attempt itself. With a real-time view of how different components are performing, the Bloodhound team will be able to quickly spot and address any technical issue on the car’s test runs.
They will be using Oracle’s Bare Metal Cloud Services as the platform for data analysis, which will inform ongoing car design and engineering services. Other Oracle Cloud software products will be used to render data visualizations that enable educators and students to manipulate and repackage the data in new ways. Artificial intelligence, meanwhile, will be used to determine whether the results of the team’s engineering and design simulations prove accurate in real-life, on-track situations.
Said John Abel, Oracle’s Bloodhound Project lead: “The Bloodhound Project is about moving fast in more ways than one. The team’s engineers will need fast data and even faster insights to fine-tune what is a unique, prototype vehicle pushing the limits of computer design and materials technology. Our solutions will provide the foundation for these insights over the next two years.”
Other Bloodhound Project partners include Castrol, Zhejiang Geely Holding Group, Nammo, MTN, Rolex and Rolls Royce.
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Google is expected to be fined more than $ 1 billion for anticompetitive practices in Europe.
Seven U.S. companies and industry groups have signed a letter in support of the European Union fining Google more than $ 1 billion for allegedly favoring its own shopping service over others in search results.
The 1.1 euro ($ 1.2 billion) fine is expected to be issued this week, and would require Google to change its business practices in Europe. The changes could have ramifications beyond Google Shopping, and might even impact Google’s operations in the U.S.
The companies and industry groups that signed the letter — including Oracle, Yelp and News Corp — have a history of opposing Google’s practices. Those three companies in particular have all made antitrust or copyright complaints against Google.
Here’s the text of the letter:
Dear Commissioner Vestager,
We represent US companies that employ hundreds of thousands of workers across 50 states. We are writing to express our support for the Commission’s enforcement action against Google.
As you near final decisions in the Shopping and Android cases, Google and its allies will no doubt continue to press through its lobbying and public relations machine the fiction that any adverse decision amounts to European “protectionism.” As U.S. based companies, we wish to go on record that enforcement action against Google is necessary and appropriate, not provincial. We have watched Google undermine competition in the United States and abroad. Google operates on a global scale and across the entire online ecosystem, destroying jobs and stifling innovation.
Google and its allies may also claim that there is no factual basis for a decision against Google. That too is untrue. The case against Google, both in Europe and the United States, rests on sound legal and factual foundations. Indeed, the US Federal Trade Commission legal staff found that Google has monopoly power and that it engages in anticompetitive practices.
We believe that decisive action is necessary to restore competition and once again open the Internet to innovation and growth. We hope that your counterparts in the United States will use this as an opportunity to address similar anticompetitive conduct by Google.
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