Such is the ideal scenario for every manager everywhere, right? Just assign that task to a trusted colleague and watch as the magic happens. Well, maybe that's a reality best expressed in a famous sci-fi TV series, but ... Science fiction often predicts the future quite accurately; and the 1990s future is, well, today! In other words, the vision espoused by Star Trek: Next Generation, in many ways can now be qualified as realistic, at least with respect to the dynamic use of data. Let's face it: Data drives the Information Economy, especially when modern technologies such as artificial intelligence and machine learning are trained on it.
The key role of enterprise services in Orange's plans for growth was spelled out clearly by Orange Group's Chairman and CEO, Stéphane Richard, when he presented the Group's five-year strategy, Engage2025, in Paris in early December. He said, "The enterprise market is changing profoundly to become data-driven, multi-cloud based and end-to-end cybersecurity…more than ever we believe in convergence of the technical and IT business, and we intend to accelerate the transformation of the B2B business. "The best proof of IT convergence is the skyrocketing demand for virtualised and on-demand services such as SD-WAN. We have a clear edge over conventional digital services companies in that we have the IT know-how. We are prepared for the challenges…of creating the right partnerships and automating and digitising the processes with the benefits of data analytics and AI". Multiservice integration services (MSI) are one of the areas in which Orange Business Services has invested heavily to gain that edge, a claim supported by testimony from Gartner and more importantly, from its customer Sony. In July, Sony Group announced it had chosen Orange Business Services to consolidate and transform the communications infrastructure of its two largest operating companies, starting with a harmonised network to improve user experience globally. Orange will be Sony's principal global provider, delivering a fully automated, intelligent network for all global business units over time. The solution will be built on Orange's Flexible SD-WAN and will connect more than 500 locations in over 50 countries across five continents. The plan is to deliver better performance, security and scalability. "Orange innovation, integration capabilities and international network are the catalysts that will allow us for the first time to bring our regional operating companies under one umbrella," said Makoto Toyoda, Chief Information Officer, Sony Group. "Only Orange could deliver a platform with the scale and scope to cover all the moving pieces of our international business.
Over the past decade, the term "disrupt" became synonymous with innovation and success. A Google Trends search reveals a steady climb of the term's use throughout the 2010s to a peak in July 2019. As the 2010s come to a close, the big question for enterprises is how to start leveraging all of this disruptive technology to create true transformation. Here are five areas of disruption that hold significant promise to move from hype to driving true value for businesses and consumers over the next decade. Earlier this year, IBM (via Nanalyze) spoke with 30 of AI's most influential researchers and thought leaders to ascertain their predictions on the future of conversational AI.
If Google's Pixel 4 is your daily driver, good news: It's now able to screen robocalls -- and more. Google announced this morning an update to the Pixel 4's Call Screen feature in the U.S. that automatically declines calls from unknown parties and filters out suspected robocallers, alongside an improved video calling experience on Duo, the rollout of the new Google Assistant to more users, and a zippier software experience made possible by memory usage optimizations. It's a part of what Google's calling feature drops, which will deliver "bigger updates" to Pixel devices with "more helpful and fun features" going forward. The first arrives starting today, with others to follow on a monthly cadence. "Pixel phones have always received monthly updates to improve performance and make your device safe," wrote Google group product manager Shenaz Zack in a blog post.
Organisations are becoming so overwhelmed with data relating to cybersecurity that they are having to turn to artificial intelligence (AI) in order to keep abreast of it all. More than half of them reported that they were using or looking to use AI because their organisations had too much data to deal with. The machine-learning systems can help by processing huge volumes of data in a way that would be impossible for human analysts. Some cyber-attacks can be identified and blocked automatically. The AI can also alert human analysts to areas of data that they should be paying particular attention to, allowing them to respond to threats more effectively.
Artificial intelligence is a double-edged sword that can be used as a security solution or as a weapon by hackers. AI entails developing programs and systems capable of exhibiting traits associated with human behaviors. The characteristics include the ability to adapt to a particular environment or to intelligently respond to a situation. AI technologies have extensively been applied in cybersecurity solutions, but hackers are also leveraging them to develop intelligent malware programs and execute stealth attacks. Security experts have conducted a lot of research to harness the capabilities of AI and incorporate it into security solutions.
AI and machine learning will continue to enable asset management improvements that also deliver exponential gains in IT security by providing greater endpoint resiliency in 2020. Nicko van Someren, Ph.D. and Chief Technology Officer at Absolute Software, observes that "Keeping machines up to date is an IT management job, but it's a security outcome. Knowing what devices should be on my network is an IT management problem, but it has a security outcome. And knowing what's going on and what processes are running and what's consuming network bandwidth is an IT management problem, but it's a security outcome. I don't see these as distinct activities so much as seeing them as multiple facets of the same problem space, accelerating in 2020 as more enterprises choose greater resiliency to secure endpoints."
Artificial Intelligence is an important thing these days. Many people are using this system for supporting their daily tasks. This system can accelerate any progress in your job. You will be able to find some companies that are focusing their businesses in this industry. There are some popular startup companies in the machine learning system.
Cybersecurity analysts have warned that spoofing using artificial intelligence is within the realm of possibility and that people should be aware of the possibility of getting fooled with such voice or picture-based deepfakes. Deepfakes rely on a branch of AI called Generative Adversarial Networks (GANs). It requires two machine learning networks that teach each other with an ongoing feedback loop. The first one takes real content and alters it. Then, the second machine learning network, known as the discriminator, tests the authenticity of the changes.
We are still in the early days of artificial intelligence, but it is quickly becoming an essential part of how organizations defend themselves. Using advanced algorithms, enterprises are improving incident response, monitoring for potential threats and deciphering red flags before they take effect. It can also be used to help identify vulnerabilities that a human may have overlooked. These are all essential functions that can elevate cyber defense systems above the reactionary--and time-consuming--strategies of the past. However, many organizations have yet to take advantage of AI's most important application in cyber defense: its lack of sympathy.