It seems like every other day there is news of some massive security breach resulting in people's login credentials being scattered all over the digital universe usually accompanied by embarrassing mea culpa statements issued by company executives promising they will "try to do better". Is it really that difficult to keep things secure? As it turns out, it's really difficult. We talked before about 9 hot cybersecurity startups looking to provide solutions that range from making sure you have installed the latest security patch to using machine learning to identify virus signatures on the fly. With the coming age of quantum computing, we will need to take things to a whole new level to ensure the security of critical industries like utilities and defense.

What can companies do to alleviate the squeeze on margins and create more value? Major advances in data analytics, artificial intelligence, network equipment, and other technologies have rewritten the industry's winning formula. With the newest software and hardware, along with digital-age management practices, mobile operators can achieve breakthrough cost savings and capital intensity while maintaining or even increasing their scale. To capitalize on these opportunities, executives must take bold action to transform their businesses. Managing networks with next-generation technologies can cut the capital-spending and operating expenses of wireless operators.

Take advantage of a new practice created by Bluewolf, an IBM company, to help clients rapidy deploy the combined IBM Watson and Salesforce Einstein capabilities. Bluewolf will also develop new industry-specific accelerators to speed up adoption of cognitive applications.

Google Assistant on the iPhone was the most understated announcement at the Google IO keynote, but it's a game changer for the future of your smartphone. It's Google's voice assistant that's crossing the Android-iOS divide, and it's doing more than just trying to convert Siri users to the Google campus. The new Apple-flavored Google Assistant isn't perfect, but there are five important things you should know about before downloading the new app. The first thing I thought of when Google Assistant for iPhone launched was not that they're poaching Siri users, but making Android machine learning smarter. Siri is (and probably always will be) limited to iPhones, iPads and Apple Watches.

For credit unions today, machine learning is proving invaluable in the fight against card fraud. Moreover, the technology's potential to enhance your service proposition extends well beyond the realm of member security. The sheer power of prediction delivered by machine learning has the ability to transform nearly every aspect of your business model. It's hard to imagine a single area of a credit union's operations that would not benefit from the ability to see accurately into the future. And your members will love it.

In a departure from using AI and machine learning tools for tasks such as automating customer service, some companies are applying the technologies to grow better corn crops and exterminate bugs and vermin. Artificial intelligence (AI) is rising in prominence with the proliferation of chatbots, virtual assistants and other conversational tools that companies are using to improve customer service, productivity and operational efficiency. But AI is also helping to automate and streamline tasks in data-intensive industries traditionally ruled by rigorous science and good old-fashioned human analysis. Seed retailers, for example, are using AI products to churn through terabytes of precision agricultural data to create the best corn crops, while pest control companies are using AI-based image-recognition technology to identify and treat various types of bugs and vermin. Such markedly different scenarios underscore how AI has evolved from science fiction to practical solutions that can potentially help companies get a leg up on their competition.

Microsoft has a central artificial intelligence (AI) organisation – AI Research – where 5,000 people support AI for a range of products including Office 365 and Azure. Access this e-guide with 6 key articles on cloud security and learn how to protect your organisation and its data on the cloud. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered.

Every day, more people are discovering the many benefits of chatbots. They save your customers' time. In fact, many people prefer to interact with brands and businesses via chat or messaging - and this trend is only growing with the younger generations. The key is making sure your chatbot meets your customers' expectations. Your chatbot must stand out - like a unicorn in a sea of donkeys.

In my previous blog on artificial intelligence (AI), I dealt with the general characteristics of AI and machine learning. Thanks to complex virtual learning techniques, machines are now able to perform a wide range of physical and cognitive tasks. And the efficiency and accuracy of their work is expected to increase as AI systems advance through machine learning, big data and increased computational power. The benefits are clear, but there are also concerns for the future of human work and employment. If indeed machines continue to improve their performance beyond human levels, a natural question to ask is whether machines will put humans' jobs at risk and reduce employment.

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