Thu.Sep 10, 2020

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10 Adventurous Data Science-Based TV Shows You Should Watch Next

Analytics Vidhya

What’s your Favorite Data Science-Based TV-Shows? Picture this – a humanoid approaches you in a dimly-lit street with the stars blinking above. It’s a. The post 10 Adventurous Data Science-Based TV Shows You Should Watch Next appeared first on Analytics Vidhya.

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Why You Need End-to-End Data Lineage

erwin

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time.

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Why models fail to deliver value and what you can do about it.

Domino Data Lab

Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for models, not to mention many cycles of training, tuning, and tweaking models so they’re performant. Yet despite all this hard work, few models ever make it into production (VentureBeat AI concluded that just 13% of data science projects make it into production) and in terms of delivering value to the business, Gartner predicts that only 20% of

Modeling 101
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The Forrester Wave Pegs Dataiku a Leader

Dataiku

Though we haven't been immune to the events of 2020, here at Dataiku, we're very fortunate to have an agile team that has been able to adapt to new circumstances as well as a product whose value has proven integral to organizations’ own recovery from this crisis. That's why we're proud to announce that hot on the heels of our $100 million Series D investment round as well as the release of Dataiku 8 , this week, Dataiku has been named a Leader in the The Forrester Wave™: Multimodal Predictive An

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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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Cloudera Named Leader in The Forrester Wave: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020

Cloudera

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. At Cloudera, we are committed to always staying at the forefront of data and analytics innovation — enabling enterprises to more optimally work with data to deliver analytic results across the business quickly and securely. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossibl

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Come For The Insight, Stay For The Impact

Srividya Sridharan

Get an overview of the tracks and sessions at the upcoming Forrester Data Strategy & Insights live virtual event.

More Trending

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How to Create an Agile Software Factory in the Enterprise

CDW Research Hub

For Agile and DevOps transformation, what may have worked for a small co-located team working on fairly simple software has proved not to adequately scale to the complex software systems modern corporations rely on. Instead, an Agile Software Factory utilizing a mature scaling framework such as the Scaled Agile Framework or Disciplined Agile as your “franchisable” process system will deliver better results.

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How To Cut Your Month-End Close Process in NetSuite by 20%

Jet Global

Month’s end for the finance team generally looks like this: tediously working through complicated consolidations, waiting until all the entries are posted for validation to begin, and then exporting multiple reports to spreadsheets, which require reformatting and linking to be useful. Essential as month-end reporting may be, it’s a cumbersome process that finance teams must repeat 12 times annually.

Finance 52
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Why Data Lineage is King in Business Intelligence

Octopai

Business Intelligence & Analytics: It’s a hard knock life for these guys. The job description sounds great, right? It usually goes something like this: “Using state-of-the-art tools and techniques, leveraging your creativity and understanding of business operations and data structures to combine data from disparate sources to generate reports, dashboards, and other deliverables to provide actionable business insights to key stakeholders.

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Making Financial Planning a Continuous and Popular Activity

Jet Global

Living through periods of rapid upheaval and uncertainty, like the recent pandemic, forces us to adapt quickly to new working practices. One of the long-lasting lessons learned from COVID-19 is that the old way of planning doesn’t work anymore. Organizations now recognize the importance of being able to plan more frequently and integrate planning across business areas beyond finance to enable quick action in the face of rapidly changing market conditions.

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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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Come For The Insight, Stay For The Impact

Srividya Sridharan

Get an overview of the tracks and sessions at the upcoming Forrester Data Strategy & Insights live virtual event.

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Data Champions: Balancing IT and Business Needs

Cloudera

Digital transformation has been on the agenda for a long time, but the sudden need to respond to the unprecedented challenges of 2020, has meant the buzzword has become an executable reality for many enterprises. I recently came across a KPMG report that revealed that 80% of executives are increasing investments on emerging technologies now, to drive higher realized value in the future.

IT 105