Over 40,000 customers, partners and analysts gathered in Las Vegas last week to attend IBM Think. Think showcased the scale and breadth of the company, with news announced in major areas including cloud computing, Watson, its Apple partnership, blockchain and quantum computing.
But with this scale comes a challenge for IBM: how to communicate this range of offerings with a clear and simple strategy.
Let’s take a look at the leading announcements and then go deeper into our assessment.
Ginni Rometty Introduces Watson’s Law
CEO Ginni Rometty set the tone for the event with a keynote that introduced “Watson’s Law,” an IBM catchphrase aimed at capturing the next phase in computing. With the implementation of artificial intelligence (AI), the law suggests, every business has the potential to develop into a “platform company” with methods highly optimized to learn from and reinforce the data that lies at the heart of most companies.
Rometty noted the simultaneous change currently underway in technology and business architectures only happens about every 25 years. IBM is hoping this transition becomes known at Watson’s Law, with comparable weight to principles such as Moore’s Law, which relates to the doubling of processing power every two years, and Metcalfe’s Law, which refers to the impact of the number of users on the value of a telecommunication network.
Demonstrating Success With AI and Watson
AI therefore remained the focus for the majority of the other Think presentations. Since most businesses are currently struggling to gain a commercial edge with AI, the main announcements unsurprisingly focused on making Watson, IBM’s AI platform, more accessible for enterprises.
IBM introduced Watson Studio, a suite of tools for data scientists, developers and domain experts to collaboratively connect to data in order to build, train and deploy machine learning models. IBM also unveiled Cloud Private for Data, an integrated data science, data engineering and app-building platform designed to uncover previously unobtainable insights from company data. IBM will supplement these new tools with the launch of Data Science Elite Team, a consultancy offering free professional services to assist clients with data science problems and in getting started with AI projects.
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source http://news.statii.co.uk/search-think-reveals-the-scale-and-challenge-of-ibms-opportunity/
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