Enterprise data cloud company Cloudera's new study, "Limitless: The Positive Power of AI," released in March, is based on two online surveys conducted by Sapio Research in August 2021. For the first, 10,880 knowledge workers working in companies with 1,000 employees were surveyed in 16 countries including France (1,000 respondents), and for the second 2,213 business decision-makers, in the same countries and organization profile (150 French respondents). The study examines their changing attitudes towards AI, machine learning (ML) and data analytics. The research results show that workers are not afraid of AI replacing them. An explosion in the amount of data now available to companies has made AI/ML a common thread in many jobs and a powerful ally.

Click here to learn more about author Sri Raghavan. The enterprise of the future is built on data. Today's business leaders generally understand that data is critical to rapidly increasing revenue and profitability. Yet most businesses still treat data as a siloed commodity and manage it poorly, leaving many employees unable to access important data when they should be relying on it. Future-focused enterprises need to shed this outdated mindset and begin taking the necessary steps to make data their most important corporate asset.

While artificial intelligence is becomes a major new tool for marketers, nearly one in two retailers are missing out on leveraging AI marketing to better understand customer behaviours, according to new research. The study, conducted by Forrester Consulting on behalf of Emarsys, looked at the growing role of AI in the retail and e-commerce industries. In an industry that's thought to be going through a'creativity crisis', there's some good news for retail marketers amongst the findings: The study, entitled'Building Trust and Confidence: AI Marketing Readiness in Retail and e-Commerce1', sought to understand if there is still a gap between the readiness of AI marketing solutions to execute on real-time B2C marketing campaigns, and the readiness of marketing tech users and business decision makers to adopt AI marketing technology. Businesses polled across US, UK, Germany, France and Australia had revenues from at least $50m to more than $5bn. The study highlighted that marketers and business decision makers polled believe AI-powered marketing will shift the role of marketing toward more strategic work (79%) and make marketing teams more efficient (86%) and effective (86%), as well as enabling them to focus on value-generating tasks as AI automates workflows (82%) and reinventing the way that marketers work (82%).

The architect defines the high-level mental model of the system which will eventually translate to the right algorithm. The instructor ensures that the system learns from existing data sources or simulated datasets. It creates an execution plan to make sure that the outcome defined by the architect can be achieved with higher accuracy. The learner component is responsible for carrying out the actual execution of the low level, underlying artificial intelligence algorithms. It takes the inputs from the instructor to define the parameters of the learning algorithm and evaluating the performance. Finally, the predictor is deployed in production to deal with live data points. The best thing about Bonsai's approach is its emphasis on business outcome rather than the technology. The platform exposes a high-level, domain-specific language called Inkling, which can be used to declare the concepts (what you want to teach the AI), and curriculum (how you want to teach the concepts) necessary to train the BRAIN.

The integration of artificial intelligence (AI) into businesses is no longer new. Task automation and chatbots are rapidly becoming the norm, cropping up across industries seeking increased efficiencies. But AI's potential extends far beyond menial tasks, and companies are now looking to leverage AI in a way that yields a competitive edge. That's where the CIO can come in as a coach to the rest of the company, an explorer of AI and its possibilities. The CIO, much more than just the IT leader they were considered to be in years past, today faces an open frontier of opportunities and emerging technology to help drive transformation.

Business decision makers are optimistic about artificial intelligence and the impact it will have on their businesses, according to a new study by PwC. "A Revolutionary Partnership: How AI Is Pushing Man And Machine Closer," a survey of 2,500 U.S. consumers and business decision makers, found that business leaders, specifically, believe AI is going to be fundamental in the future. In fact, 72% termed it a "business advantage." Business decision makers said they are most optimistic about AI's potential to increase efficiencies with automated communications and alerts to enable more proactive approaches (70%) and to improve big data analytics (59%). Additionally, PwC found, AI has the potential to minimize customer service pain points, with consumers beginning to prioritize AI service experiences over human contact.

SAP SE (NYSE: SAP) today announced three new courses delivered on the openSAP platform to guide users through the transformative effects experienced as a result of using iOS technology, machine learning and SAP S/4HANA to implement everyday business processes. These courses come in addition to the recent release of "Upgrade of Systems Based on SAP NetWeaver – Advanced Topics," which investigates the latest tools and features essential for SAP software system upgrades and maintenance. The new courses on openSAP will cover how the partnership between SAP and Apple is optimizing the use of iOS technology for end-to-end business processes. They also provide users an in-depth look at how machine learning is giving rise to new intelligent applications. SAP Fiori for iOS – An Introduction: The recent partnership forged between SAP and Apple will enable developers to build quickly their own native apps for Apple iOS devices.

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