Sat.Jan 06, 2018 - Fri.Jan 12, 2018

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What Business Analysts Can Learn From Swiss Cheese

BA Learnings

Swiss cheese has holes in various places on different slices of cheese when you cut it up. Let’s imagine these holes reflect weaknesses in the system where mistakes can pass through, afterall no system is perfect. One mistake passing through a hole in one slice of cheese might remain unnoticed and not lead to a business catastrophe, if it's corrected.

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Big Data: Amazon, Google, Microsoft, The Cloud And Other 2018 Trends

Bruno Aziza

In his latest book, “Thank You For Being Late,” Thomas Friedman highlighted 2007 as one of the most pivotal years in technology: 2007 saw the birth of Hadoop, the iPhone and Amazon’s Kindle for instance. My bet is that 2018 will start a new era for the technology space very much like 2007 did.

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Make BI Applications More Intuitive With Search Like GUI

Boris Evelson

Most business intelligence (BI) applications are constructed using point-and-click drag-and-drop graphical user interfaces (GUI), but still require end user training and long ramp up times, although not to the extent of learning and writing SQL code. Few business decision-makers access data directly, instead rely on trained business analysts, even for basic information.

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Data Engineering is Critical to Big Data Success

Cloudera

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. And the longer it takes to put a team in place, the likelier it is that your big data project will stall. The data engineering team is responsible for collecting and ingesting batch and stream-oriented data, inventorying the data, working through ingest bottlenecks, and d

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Will 2018 See More BusinessObjects in the Cloud?

Paul Blogs on BI

While it’s fun to make predictions at the beginning of a new year, I must admit that my track record on getting them right has not always been perfect. I tend to lean heavily towards things I want to happen, rather than things that are more likely to happen. In the world of Business Intelligence, predictions by leading experts and vendors have also not always been stellar.

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What A World Without Net Neutrality Looks Like

Bruno Aziza

Fundamentally, whether you’re on the internet, making a phone call or sending and receiving messages, your communication should simply go through, free of interference from your service provider.

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The three certainties in life: death, taxes and GDPR

Cloudera

As the GDPR clock ticks down to implementation, it is clear that this will not be a non-event like the Millennium Bug – it will happen and there will be dire consequences, potentially company-closures, in the event of non-compliance. The three certainties in life: death, taxes and GDPR. 1999 was a milestone year for the development of technology.

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Unsexy Fundamentals Focus: User Experiences That Print Money

Occam's Razor

Like me, I'm sure you are working on complex challenges when it comes to data. Multi-petabyte data warehouses. Multi-touch, cross-channel attribution analysis. Media mix modeling. Predictive analytics. Human-centric analysis. Oh, and let's not forget the application of machine learning to every facet of your work. It is genuinely fun to work on these opportunities.

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Pyeongchang Olympics Hack: Attackers Evolve Beyond Zero Days

Bruno Aziza

The tactics of intentional timing and email spoofing as a subconscious lever to invoke interaction are tried and tested methodologies.

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Cybersecurity On Call: Goodbye 2017, Hello 2018! Top Five Tips from 2017

Cloudera

This was an amazing year for our inaugural “Cybersecurity On Call” season. It was truly an honor hosting amazing guests as we explored the world of cybersecurity. From industry thought leaders, to New York Times best sellers, to hackers, I learned a ton about the future of cybersecurity and I hope you did as well. Today’s episode won’t be our usual programming, today is our end of the year special where we will dive into our top five tips from this year’s season.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Six Strategies for Advancing Customer Knowledge: Bringing Data Together

Cloudera

I often meet with our customers to help them understand how to connect modern technology to business success. The ever-present question at these encounters is “Where do I start?” For them, they may understand that they need a data-driven strategy or the culture may aim to take a shift to being guided by data. These are often goals set by the executive team with little guidance on how to execute or implement.