This is Patricia Murphy, Vice President of Investor Relations for IBM. I'd like to welcome you to our third quarter earnings presentation. The prepared remarks will be available within a couple of hours and a replay of the webcast will be posted by this time tomorrow. I'll remind you that certain comments made in this presentation may be characterized as forward-looking under the Private Securities Litigation Reform Act of 1995. Those statements involve a number of factors that could cause actual results to differ materially. Additional information concerning these factors is contained in the Company's filings with the SEC. Copies are available from the SEC, from the IBM website, or from us in Investor Relations. Our presentation also includes certain non-GAAP financial measures in an effort to provide additional information to investors. All non-GAAP measures have been reconciled to their related GAAP measures in accordance with SEC rules. You'll find reconciliation charts at the end of the presentation and in the form 8-K submitted to the SEC today. So with that, I'll turn the call over to Martin Schroeter. In the third quarter, we generated 19.2 billion in revenues, 3.7 billion in pre-tax income and 3.29 of operating earnings per share. As we think back to the discussion 90 days ago, it was around Brexit and its impact on Europe, global spending and sectors like banking and the attractiveness of investment in the emerging markets, all of these topics have the capacity to drive some volatility and results, but what you see in our third quarter results is stability in our revenue with continued strong growth and strategic imperatives and a top and bottom line consistent with what we expected. Our revenue was essentially flat relative to last year. Looking at the revenue dynamics, I want to point out a few things. Our clients are focussed on becoming digital businesses and have strong growth in cloud, security, mobile, and across our analytics portfolio reflects this. In total, we continue to deliver double-digit revenue growth in our strategic imperatives led by our cloud business. Cloud delivered as-a-service is part of a solid recurring revenue base across software and services, and our annuity revenue continued to grow. Of course, the acquisitions we made in the last 12 months contributed to growth about the same amount as last quarter and for the first time in quite a while currency was a modest tailwind to revenue growth.

Large tech companies are snatching up artificial intelligence startups left and right. Turns out, it's a very familiar name. Google has acquired 11 AI startups over the last five years, leading the pack of corporations hungry for artificial intelligence, according to CB Insights. There have been roughly 140 acquisitions of artificial intelligence startups since 2011, including 40 this past year alone, the venture capital research firm says. That compares with just five acquisitions in 2011.

Both infographics in one download – a part of the'Where Are the Opportunities in Artificial Intelligence?' series created in collaboration with Tractica, exclusively for the AI for Enterprise meeting in London.

Watson, can you grow into a multibillion-dollar business and become the engine of IBM's resurgence? IBM is betting its future that the answer is yes. Its campaign to commercialize Watson, the company's version of artificial intelligence technology, stands out, even during the current A.I. frenzy in the tech industry. IBM has invested billions of dollars in its Watson business unit, created at the start of 2014, which now employs an estimated 10,000 workers. Its big-ticket marketing push includes clever television ads that feature Watson trading quips with famous people like Serena Williams and Bob Dylan. And Watson, after a slow start, has shown its mettle by assisting in daunting tasks like diagnosing cancer.

Watson, can you grow into a multibillion-dollar business and become the engine of IBM's resurgence? IBM is betting its future that the answer is yes. Its campaign to commercialize Watson, the company's version of artificial intelligence technology, stands out, even during the current A.I. frenzy in the tech industry. IBM has invested billions of dollars in its Watson business unit, created at the start of 2014, which now employs an estimated 10,000 workers. Its big-ticket marketing push includes clever television ads that feature Watson trading quips with famous people like Serena Williams and Bob Dylan.

Samsung, announced that it has agreed to acquire Viv Labs, the intelligent interface to everything. Viv has developed a unique, open artificial intelligence (AI) platform that gives third-party developers the power to use and build conversational assistants and integrate a natural language-based interface into renowned applications and services. The transaction is subject to customary closing conditions. The deal showcases Samsung's commitment to virtual personal assistants and is part of the company's broader vision to deliver an AI-based open ecosystem across all of its devices and services. With Viv, Samsung will be able to unlock and offer new service experiences for its customers, including one that simplifies user interfaces, understands the context of the user and offers the user the most appropriate and convenient suggestions and recommendations.

IBM (NYSE:IBM) has a lot of moving parts, and a vociferous crowd of critics. In the process of analysis, it's easy to be overwhelmed by complexity, or sidetracked into refuting mindless attacks by the ill-informed. In the interest of simplicity, this article focuses on hard evidence of the company's progress in exploiting the developing market for Artificial Intelligence, Machine Learning, or Cognitive Computing. The quarterly and annual financial results provide segment information, to include year over year revenue growth and pre-tax margins. Looking at 2Q 2016, Cognitive Solutions at 4.4% is the only segment showing growth, and at 27.5% the second highest (after Global Financing) in pre-tax margins.

Samsung Electronics has announced that it has agreed to acquire Viv Labs, "the intelligent interface to everything." Viv has developed an open artificial intelligence (AI) platform that gives third-party developers the power to use and build conversational assistants and integrate a natural language-based interface into applications and services. It claims to be well advanced over other language interfaces like Siri or Google Now where accuracy cannot be relied on. Viv's creator, Dag Kittlaus should know as he co-created Siri too. He said, "Viv would breathe life into the inanimate objects of our life through conversation."

Elon Musk named his electric-car company after the engineering genius Nikola Tesla, but the sweeping nature of his vision to replace fossil fuels is reminiscent of Thomas Edison, Tesla's arch-rival. After creating the incandescent bulb, the home electric meter, and one of the first alkaline batteries, Edison spent much of his personal fortune building factories to produce them--all in the service of a grand plan to electrify society using his direct-current transmission technology. Eighty years before Musk was born, Edison was urging U.S. cities to set up networks of charging stations so those newfangled horseless carriages could run on electricity rather than gasoline. For Musk's fans and investors, the comparison should not be entirely comforting. In the course of a few short years, the Wizard of Menlo Park was unceremoniously forced out of the electricity game. After he stubbornly refused to embrace the transmission technology that became the foundation of the U.S. grid and focused increasingly on developing inventions such as the phonograph and the motion picture, his board of directors merged his Edison General Lighting with a rival to create today's General Electric--leaving the 46-year-old Edison with no management role.

Major technology firms are racing to infuse smartphones and other internet-linked devices with software smarts that help them think like people. The effort is seen as an evolution in computing that allows users to interact with machines in natural conversation style, telling devices to tend to tasks such as ordering goods, checking traffic, making restaurant reservations or searching for information. The artificial intelligence (AI) component in these programs aims to Read More ... Tags: Computer systems Computer Software Artificial intelligence Artificial intelligence software San Francisco (AFP) - Major technology firms are racing to infuse smartphones and other internet-linked devices with software smarts that help them think like people. The effort is seen as an evolution in computing that allows users to interact with machines in natural conversation style, telling devices to tend to tasks such as ordering goods, checking traffic, making restaurant reservations or searching for information. According to PRNewswire, Arria NLG, a leader in artificial intelligence ("AI") and natural language generation ("NLG"), is pleased to announce the private beta launch of Articulator Lite, a cloud-based toolkit that allows users to build their own applications that create content from data.