Enterprise Applications


10 Ways Machine Learning Is Revolutionizing Marketing

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Measuring marketing's many contributions to revenue growth is becoming more accurate and real-time thanks to analytics and machine learning. Knowing what's driving more Marketing Qualified Leads (MQLs), Sales Qualified Leads (SQL), how best to optimize marketing campaigns, and improving the precision and profitability of pricing are just a few of the many areas machine learning is revolutionizing marketing. The best marketers are using machine learning to understand, anticipate and act on the problems their sales prospects are trying to solve faster and with more clarity than any competitor. Having the insight to tailor content while qualifying leads for sales to close quickly is being fueled by machine learning-based apps capable of learning what's most effective for each prospect and customer. Machine learning is taking contextual content, marketing automation including cross-channel marketing campaigns and lead scoring, personalization, and sales forecasting to a new level of accuracy and speed.


Workday buys analytics startup Stories

ZDNet

Workday is buying analytics startup Stories.bi, the company announced Tuesday. The deal is meant to support Workday's analytics ambitions, namely Prism Analytics. Stories specializes in augmented analytics, an approach "that leverages machine learning and artificial intelligence technologies to automate analysis and deliver insights into what's happening in a business," Workday said in a blog post. Specifically, the software identifies top-line trends and issues from company data and then delivers insights to the business user in an easy to digest, conversational headline. From there, the system suggests drivers behind the headline and what actions to take next.


Salesforce buys marketing intelligence firm Datorama

ZDNet

Salesforce is buying Israeli marketing intelligence firm Datorama, the company said Monday. Financial terms of the deal were not disclosed, but some reports suggest it's worth upwards of $800 million. Datorama's cloud-based AI software is used by marketers to consolidate and pull insights from data that can be used to optimize campaigns and workflows. Salesforce plans to use the acquisition to bolster its own data analytics capabilities within Marketing Cloud. The CRM giant also said the deal complements its integration with Google Analytics 360 and recent Marketing Cloud Einstein updates.


4 ways artificial intelligence will shape the future of learning technology

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With the rapid pace of innovation continually disrupting business models, and in many cases entire industries, how will online learning keep up to provide the relevant courseware for today's and tomorrow's workforce? This will be essential for economic growth and to support a thriving, college-educated workforce that's equipped with the very latest knowledge, ideas and technology. In the future, I believe that institutions at the forefront of online education will be recognized via several capabilities which will have digitally transformed today's EdTech market. They will include a powerful combination of omni-channel learning pathways, cognitive courseware, virtual counselors and AI-enabled course development and grading. These innovations, underpinned by artificial intelligence (AI), will help to provide students the ultimate choice in their courseware – including up-to-the-minute courses on high-interest/high-growth subject matter – as well as highly-innovative digital services that support them every step of the way to help maximize their success and personal objectives.


Artificial intelligence and data analytics in fraud and corruption investigations Lexology

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When a legal team needs to find the facts behind fraud and corruption allegations in a government investigation, technology can drive substantial new efficiencies. Technology-assisted data analysis can provide the diligence and reliable quality control needed to provide the government with conclusions that can be trusted. This update explains how the process of gathering, sorting and evaluating enormous volumes of data has changed, and why skilled human intelligence is likely to remain a required component of an accurate analysis. When conducting investigations, the goal is to determine the facts. In most cases, a vague allegation will have been made – usually through an internal whistleblower hotline or a subpoena from the government.


AI-powered sales startup 19th Mile bags angel funds from HNIs

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Artificial intelligence-based sales acceleration software platform 19th Mile has raised $180,000 (Rs 1.2 crore) in angel investment from high-net-worth individuals, the company said in a media statement. The key investors include Rishi Vasudev, vice president of fashion at Flipkart; Excelsior Investments; Ritesh Vohra, partner at IDFC Real Estate Fund; Praveer Kumar, chief technology officer at payments solutions startup Finxera; Prashant Gupta, head of engineering at Finxera; and a few others, the statement added. Ltd, the company was founded 2015 by Vijay Gogoi, who worked at consultancy giant Accenture before starting up. An electronics engineer from National Institute of Technology, Rourkela and MBA from MDI, Gurgaon, Gogoi has 19 years of experience in management consulting, sales, talent development, and general management, and has been a technology entrepreneur for the past two years. The company will use the funds to strengthen its product, bolster its technology team, and will launch brand awareness initiatives in India and other international markets, the statement said.


HNIs invest in AI-based sales startup 19th Mile

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Artificial intelligence-based sales acceleration software platform 19th Mile has raised $180,000 (Rs 1.2 crore) in angel investment from high-net-worth individuals, the company said in a media statement. The key investors include Rishi Vasudev, vice president of fashion at Flipkart; Excelsior Investments; Ritesh Vohra, partner at IDFC Real Estate Fund; Praveer Kumar, chief technology officer at payments solutions startup Finxera; Prashant Gupta, head of engineering at Finxera; and a few others, the statement added. Ltd, the company was founded 2015 by Vijay Gogoi, who worked at consultancy giant Accenture before starting up. An electronics engineer from National Institute of Technology, Rourkela and MBA from MDI, Gurgaon, Gogoi has 19 years of experience in management consulting, sales, talent development, and general management, and has been a technology entrepreneur for the past two years. The company will use the funds to strengthen its product, bolster its technology team, and will launch brand awareness initiatives in India and other international markets, the statement said.


From Eisenhower to AI: What human capital management is learning from the past -- GCN

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With a new generation quickly entering the modern workforce, it is never been more important for public-sector agencies to take a thoughtful, strategic approach to human capital management. It is hard to imagine a better time to start down that road, with state-of-the-art IT systems taking the guesswork out of human resources decisions and delivering a level of management insight that would have been unimaginable even a decade ago. That technology is certainly the cornerstone of government's efforts to stay ahead of a rapidly shifting workforce. Yet it is worth remembering that this is not the first massive wave of transformation the U.S. public service has faced. We have been here before, and it is useful to draw insight and inspiration from another memorable moment when America had to surmount an overwhelming HR challenge to achieve a fundamentally important objective.


CIOs Leveraging AI and Machine Learning For ITSM Goals - Datamation

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For the past decade, many IT departments have been on the defensive trying to keep pace with escalating end-user demands and competitive pressures. The emergence of'shadow IT' as a major force within many enterprises raised questions about the role of IT in a cloud-first world. Now, enlightened CIOs are exploring ways to employ artificial intelligence (AI) and machine learning (ML) to actively engage their IT teams as key players in the rapidly evolving digital transformation efforts within their organizations. A growing number of IT departments have recognized that they have been unable to satisfy the rising expectations of end-users and corporate executives because they failed to successfully adopt IT service management (ITSM) tools and best practices in the past. This failure not only resulted in inconsistent processes, but also the inability to collect and act on timely data in an effective fashion.


Salesforce makes Einstein Bots for Service Cloud generally available

ZDNet

Salesforce is bringing its Einstein Bots to market as part of the next generation of Service Cloud, along with a bevy of other new features. This ebook, based on the latest ZDNet/TechRepublic special feature, looks at the rise of e-commerce and the digital transformation of retail companies. With Einstein Bots, the aim is to help companies automate routine customer service requests and improve customer experiences regardless of whether customers are interacting with a bot, an agent, or a combination of the two. The bots use historical service data and CRM data to form their answers, but they can also hand the conversation off to a human employee if needed. Meanwhile, developers and admins can use the same point-and-click interface to build custom chatbots.