Thu.Mar 28, 2019

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Chatting with machines: Strange things 60 billion bot logs say about human nature

O'Reilly on Data

Lauren Kunze discusses lessons learned from an analysis of interactions between humans and chatbots. Continue reading Chatting with machines: Strange things 60 billion bot logs say about human nature.

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CCO Melbourne Sponsorship Material

Corinium

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Data warehousing is not a use case

O'Reilly on Data

Google BigQuery co-creator Jordan Tigani shares his vision for where cloud-scale data analytics is heading. Continue reading Data warehousing is not a use case.

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How Financial Institutions Are Becoming Champions Of Big Data

Smart Data Collective

If someone asked you which industry is the most innovative , you probably wouldn’t say the financial industry. In fact, that would probably be the last industry on your list. Nonetheless, the financial industry is using big data more than ever. The success of both Fintech companies and traditional banks will hinge on their ability to leverage big data to its fullest potential.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Winners of the Strata Data Awards 2019

O'Reilly on Data

The Strata Data Award is given to the most disruptive startup, the most innovative industry technology, the most impactful data science project, and the most notable open source contribution. Continue reading Winners of the Strata Data Awards 2019.

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Optimizing the IoT Infrastructure for Enhanced Big Data Performance

Smart Data Collective

The Internet of Things is one of the most groundbreaking trends affecting consumers and businesses all over the world. According to a report by Gartner, the economic impact of all products connected to the IoT will exceed $300 billion by next year. A number of factors are contributing to the proliferation of the IoT. One of the most influential changes is the increasing capacity of big data.

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7 Ways Big Data Is Essential For Life Insurance Settlements

Smart Data Collective

The life insurance industry will soon undergo a dramatic transformation in response to advances in big data. A growing number of digital startups are starting to emphasize the impact of big data in this antiquated business. A number of insurance executives have been reluctant to embrace the changes of big data. One study found that 74% of respondents felt that the insurance industry had done an inadequate job addressing the need for big data.

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Likewar: How social media is changing the world and how the world is changing social media.

O'Reilly on Data

Peter Singer explores the new rules of power in the age of social media and how we can navigate a world increasingly shaped by "likes" and lies. Continue reading Likewar: How social media is changing the world and how the world is changing social media.

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The Role of Data and Reason in being Data-Driven

Andrew White

It’s all the rage- we need to be ‘data driven’. Unfortunately important ideas and advice are often dumbed-down or simplified to singular messages for ease of consumption and this can lead to yet more problems. To be data driven is a great example. What is such a thing? Conceptually to be data driven sounds like a situation whereby a decision ought to have its roots founded in data.

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It’s time for data scientists to collaborate with researchers in other disciplines

O'Reilly on Data

The O’Reilly Data Show Podcast: Forough Poursabzi Sangdeh on the interdisciplinary nature of interpretable and interactive machine learning. In this episode of the Data Show , I spoke with Forough Poursabzi-Sangdeh , a postdoctoral researcher at Microsoft Research New York City. Poursabzi works in the interdisciplinary area of interpretable and interactive machine learning.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Predicting Taxi Fares in New York Using Machine Learning in Real-Time

Dataiku

Do you remember the days before Uber, Lyft, or Gett? Standing in the street trying to hail a taxi waiting for the moment a free cab might drive by and spot you? These days that world seems so far away. And you might often wonder: how do these apps work? After all, that set price is not a random guess.

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The enterprise data cloud

O'Reilly on Data

Mike Olson describes the key capabilities an enterprise data cloud system requires, and why hybrid and multi-cloud is the future. Continue reading The enterprise data cloud.

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Managing mortgage risk in an uncertain world

Cloudera

Picture the scene: a hopeful homebuyer sits in the almost deserted lobby of a high street bank, waiting for the appointment she booked with the mortgage consultant a week ago – a week ago! It annoys her that she has had to come to a branch she has not visited for years, all because she could not work out how to apply for a home loan on the bank’s website.

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Forecasting uncertainty at Airbnb

O'Reilly on Data

Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. Continue reading Forecasting uncertainty at Airbnb.

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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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6 Lessons for Women in Tech

Teradata

Today, we share insights from a diverse group of women at Teradata and their advice to other women entering roles in technology.

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When marrying in Hawaii, buy a Japanese car: Indexed charts explained

Daydreaming Numbers

Indexing data is an effective method to normalize the data to a common starting point and observe how variables change over time relative to each other. The post When marrying in Hawaii, buy a Japanese car: Indexed charts explained appeared first on Daydreaming Numbers.

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Moving On Up: Hierarchy of IT Needs and the Cloud

Nutanix

IT has come a long way from providing IT infrastructure and application services to being a driver of business change.

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Using NLP to gain insights from employee review data

Insight

Utilize information hidden away in online employee reviews. Photo by rawpixel on Unsplash Written in collaboration with Adam Azzam and the Thinknum team. For the Fall 2018 session of the Insight Fellows Program in NYC, we launched a new partnership with Thinknum , a company that provides alternative data indexed from the web to institutional investors and corporations?

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Business Process Modeling Use Cases and Definition

erwin

What is business process modeling (BPM)? A visual representation of what your business does and how it does it. Why is having this picture important? According to Gartner , BPM links business strategy to IT systems development to ensure business value. It also combines process/ workflow, functional, organizational and data/resource views with underlying metrics such as costs, cycle times and responsibilities to provide a foundation for analyzing value chains, activity-based costs, bottlenecks, c