Slack Hopes Its AI Will Keep You from Hating Slack – MIT Technology Review

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The fastest-growing business app is relying on machine-learning tricks to fend off a deluge of messages—as well as competition from Facebook and Microsoft.

Some of the technology is already live. One feature shows which people within a company talk about particular topics most often in Slack and where those discussions take place. The information, which appears when users conduct searches in Slack, is meant to pinpoint subject experts so people can direct questions to their most knowledgeable and accessible colleagues. Another feature, added last year, evaluates all of a user’s unread messages, across all Slack channels; highlights up to 10 of the ones its algorithms deem most important; and presents them in a single list.

Both innovations rely on a data structure that Weiss calls the “work graph.” It essentially looks at companies that use Slack and analyzes how the people within them are interrelated, where in the app their discussions are taking place, and what topics are being discussed. If the term sounds familiar, it’s because Google and Facebook have similar structures—the “knowledge graph” and the “social graph,” respectively. But while Google studies public data and Facebook promotes the idea of a single, global network of relationships, Slack thinks of the work graph as specific to each company—a representation of how work is structured within it.

https://www.technologyreview.com/s/609319/slack-hopes-its-ai-will-keep-you-from-hating-slack/

Slack Hopes Its AI Will Keep You from Hating Slack

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If you work at one of the 50,000 companies that pay to use Slack for workplace collaboration, you probably spend hours on it, swapping information, bantering, and sharing files with your colleagues. It’s a casual, flexible way to interact—you tap out brief messages in group chat rooms (called channels) instead of sending e-mail, and it feels more like a smartphone app than typical office software.

But while it can be an efficient way to collaborate, keeping up with Slack can become a full-time task, particularly when you return from a few days away and find thousands of status updates, scattered across dozens of channels. Slack estimates that the average user sends 70 messages per day. How can you know which are must-reads and which can be skipped?

 

Link: https://www-technologyreview-com.cdn.ampproject.org/c/s/www.technologyreview.com/s/609319/slack-hopes-its-ai-will-keep-you-from-hating-slack/amp/

Predictive project analytics Will your project be successful?

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Benefits of predictive project analytics
• Project review – “eyes and ears” for management
• Independent assessment of project planning, execution, and protects project investment
• Independent monitoring of emerging project risks helps control operational and
reputational risks
• Ability to determine the project portfolio risk profile

Lowers and contains project costs
• Independent assessment of project budget adequacy
• Independent assessment of ongoing budget needs and requests
• Prioritizes project so the right level of project management can be applied

Increase likelihood of project success
• Project of what could go wrong before it does go wrong
• Adherence to project plan
• Ability to identify the project performance cliffs

Gets projects back on track
• Unbiased, project-agnostic expertise alerts the project organization when timelines or
objectives are threatened
• Interim recommendations focus and project remediation
• Expertise to re-scope and re-plan as needed.

Improves the project organization and project practices
• Employment of generally accepted practices and methodologies
• Leverage project investment by not re-inventing the wheel

Full report here

https://www2.deloitte.com/content/dam/Deloitte/ca/Documents/risk/ca-en-ers-predictive-project-analytics.pdf