Thu.Oct 31, 2019

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‘Phase Two’ of Europe’s Data Transformation

Corinium

For the UK and Europe’s most data-led companies, phase one of the data transformation is now complete. The strategies have been agreed, the foundations have been laid and the real work is well underway.

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Highlights from TensorFlow World in Santa Clara, California 2019

O'Reilly on Data

People from across the TensorFlow community came together in Santa Clara, California for TensorFlow World. Below you’ll find links to highlights from the event. Opening keynote. Jeff Dean explains why Google open-sourced TensorFlow and discusses its progress. Watch “ Opening keynote “ Accelerating ML at Twitter. Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product.

IoT 195
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‘Phase Two’ of Europe’s Data Transformation

Corinium

For the UK and Europe’s most data-led companies, phase one of the data transformation is now complete. The strategies have been agreed, the foundations have been laid and the real work is well underway.

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“Human error”: How can we help people build models that do what they expect

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

Modeling 135
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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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Data Governance Makes Data Security Less Scary

erwin

Happy Halloween! Do you know where your data is? What data you have? Who has had access to it? These can be frightening questions for an organization to answer. Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. In fact, we’ve seen some frightening ones play out already: Google’s record GDPR fine – France’s data privacy enforcement agency hit the tech giant with a $57 million penalty in earl

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TensorFlow Lite: ML for mobile and IoT devices

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

IoT 132

More Trending

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TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

Modeling 131
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Fundamentals of Data Mining

Data Science 101

Today we are generating data more than ever before. Over the last two years, 90 percent of the data in the world was generated. This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD).

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MLIR: Accelerating AI

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

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Keeping your operationsat a healthy weight

Corinium

The problem with dieting. The problem with dieting is this; it’s really easy to eat and drink far more calories than is recommended and really hard (at least for me) to eat and drink less. So, unless you are one of those lucky people who don’t mind hunger, the dice are loaded against you. If you are really good for six days a week and a bit bad on the seventh then that’s still no good; across the week, calories in are more than calories out.

IT 60
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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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TFX: An end-to-end ML platform for everyone

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

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How to Make an Agile Team Work for Big Data Analytics

KDnuggets

Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value your Big Data products.

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TensorFlow.js: Bringing machine learning to JavaScript

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

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How Data Labeling Facilitates AI Models

KDnuggets

AI-based models are highly dependent on accurate, clean, well-labeled, and prepared data in order to produce the desired output and cognition. These models are fed with bulky datasets covering an array of probabilities and computations to make its functioning as smart and gifted as human intelligence.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Personalization of Spotify Home and TensorFlow

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

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Which Data Science Skills are core and which are hot/emerging ones? – By Region and Employment

KDnuggets

These results will go into each each region and employment type to find out the differences and similarities especially between people from Industry and Students.

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Sticker recommendations and AI-driven innovations on the Hike messaging platform

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

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Build an enterprise-ready, modern data architecture based on open source

IBM Big Data Hub

Gartner analysts Merv Adrian and Donald Feinberg in a February 2018 report predict that “by 2022, more than 70 percent of new applications developed by corporate users will run on an open source database management system.” This isn’t surprising given the influx of multiple types of data from disparate sources and the popularity of open source methods to capture and turn it into insight.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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How a modern software solution facilitates financial consolidation

Jedox

Planning, budgeting and reporting isn’t the only function in finance that can be automated and consequently simplified by software solutions. Financial consolidation can also be optimized with the right software tool. Until now, creating consolidated financial statements and the associated tasks have monopolize valuable time and resources. Let’s take a closer look at how a modern solution facilities financial consolidation.

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3 Reasons to Drive Business Intelligence Adoption in Manufacturing

ScienceSoft

We describe the potential of business intelligence that the players in the manufacturing industry haven’t fully embraced yet.

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AI Simplified: What is Machine Learning?

DataRobot

Artificial intelligence (AI) and machine learning are terms widely used across industries, and it’s clear that organizations that aren’t on the AI and machine learning path will lose their edge and fall behind. But let’s slow things down a bit. Does it ever seem like both terms are often frequently used interchangeably that it’s hard to understand what they actually mean?

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Google’s DeepMind Now a Grandmaster at StarCraft II

Andrew White

The headline was attention grabbing: DeepMind , Google’s AI engine, win a StartCraft II tournament, winning 10 games in a row. It lost the last match. With such a win, DeepMind is now a grand master and can beat 98.8% of human players. This is an elevated and coveted status in the StarCraft community. Of course, I, like many others, was amazed back in January of this year when DeepMind won its first StarCraft II game.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Did You Know Atlas Can Also Fix Your Reporting Challenges?

Jet Global

Many of our legacy Atlas users know us for the ability to import back into Dynamics AX/365. But Atlas is so much more than this! Atlas is a single solution for reporting and uploading with Dynamics AX/365. If you are currently running Atlas and don’t know how we can easily help you to solve some of your reporting challenges, this webinar is exactly for you!

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How to Gain More Reporting Capabilities in Less Time

Jet Global

It’s not easy to admit that your reporting process needs work. When the finance team invests hours of careful effort into creating reports, they’re more inclined to see the positives rather than the negatives, even if the end products are notably underwhelming. Recognizing a broken reporting process is an important first step in the comprehensive task of making reporting faster and better.