Remove 2017 Remove Analytics Remove Experimentation Remove Optimization
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AI in Analytics: The NLQ Use Case

Sisense

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics. Machine Intent vs. User Intent.

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Digital Analytics + Marketing Career Advice: Your Now, Next, Long Plan

Occam's Razor

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. Analytical Thinking: Skills, Interviewing, Value.

Marketing 136
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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

Company UX leaders are happy to stink less by taking the sub-optimal path of responsive design, rather than create a mobile-unique experience (your customers tend to do different things on your desktop site than your mobile site!). Then approach each separately (even though there are tools like Google Analytics that will do both).

Metrics 141
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Transforming IT for cloud success

CIO Business Intelligence

So Holden, who has been CIO at Halfords — the UK’s largest retailer of motoring and cycling products and services — since 2017, developed a strategy to reorganize his tech team. ASU started its cloud journey a decade ago with experiments, before becoming more strategic and aggressive about cloud adoption when Gonick became CIO in 2017.

IT 121
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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. Here’s a sampler of related papers and articles if you’d like to dig in further: “ Synthesizing Programs with Deep Learning ” – Nishant Sinha (2017-03-25). “

Metadata 105
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Why adopt a hybrid, multi-cloud strategy?

Cloudera

of application workloads were still on-premises in enterprise data centers; by the end of 2017, less than half (47.2%) were on-premises. An integrated suite of data management and analytics tools in a single platform enables cost-effective delivery of complex, multiple use cases and thus reduces overall TCO. In 2016, 60.9%

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What Are ChatGPT and Its Friends?

O'Reilly on Data

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It was not optimized to provide correct responses. But it is an amazing analytic engine.”

IT 258