Many CEOs see Artificial Intelligence (AI) and Machine Learning (ML) as a key component to gaining competitive advance in their respective marketplaces. A 2017 survey of Fortune 500 CEO’s found that 81% of the respondents listed AI/Machine Learning as a “critical area of investment”, ranking just behind Cloud and Mobile Computing (91% and 86% respectively).
Yet, with all the hype surrounding AI and machine learning, projects remain in the science labs with few companies using it effectively. Another recent report by MIT Sloan – Reshaping Business with Artificial Intelligence – showed that while 85% of 3,000 business leaders surveyed believed AI would enable competitive advantage, it remains a missed opportunity with only 20% of the respondents actually taking advantage of it.
This report goes on to discuss this challenging role of data in the AI process, stating:
“No amount of algorithmic sophistication will overcome a lack of data. Data collection and preparation are typically the most time-consuming activities in developing an AI-based application, much more so than selecting and tuning a model. Companies sometimes erroneously believe that they already have access to the data they need to exploit AI. Even if the organization owns the data it needs, fragmentation across multiple systems can hinder the process of training AI algorithms.”
Yet, many organizations struggle to achieve value from their data science efforts at the scale they anticipated because:
- Data analysts and scientists spend over 80% of their time wrestling and understanding complex datasets
- Use of multiple tools and custom coding introduce operational, security and governance risks
Often analyst and data science teams derive dramatic new insights, but it often has taken them months and requiring a lengthy reimplementation process to deploy
IBM Cloud™ Private for Data can accelerate your journey to AI by simplifying hybrid data management, data governance, and business analytics with a single interface. Organizational leaders can rapidly discover insights from their core business data while keeping it in a protected, controlled environment.
Datameer and IBM have partnered to provide comprehensive data preparation, exploration and pipeline operationalization capabilities within IBM Cloud Private for Data. Combined this integrated offering can:
- Radically speed your time to AI and ML insights
- Creates faster time to business value for your data science efforts
- Streamline your AI and ML delivery processes
Join Datameer and IBM on Wednesday August 29, 2018 at 11 am PT, 2 PM ET, for a webinar Accelerate AI Adoption via a Streamlined, Trusted Data Management Foundation, where we will discuss and demonstration how IBM Cloud Private for Data and Datameer helps accelerate your journey to AI enriched insights. Click here to register for this webinar. We look forward to seeing you there!
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