Wed.Mar 04, 2020

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6 Essential Data Visualization Python Libraries – Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGplot

Analytics Vidhya

Introduction “Visualization gives you answers to questions you didn’t know you had.” – Ben Shneiderman My day-to-day work as a Data Scientist requires a. The post 6 Essential Data Visualization Python Libraries – Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGplot appeared first on Analytics Vidhya.

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Getting Started With Strategic & Operational Reports

datapine

In our information-rich age, a business can accelerate its success by harnessing its organizational data in a way that is both efficient and value-driven. To squeeze every last drop of value from your data, both in an operational and strategic sense, it’s important to leverage the right online reporting tool. When it comes to reporting, the daily running of your business, the plans and methods you formulate to improve the organization will steer your long-term success.

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The Difference Between AI and Machine Learning

DataCamp

What are artificial intelligence, machine learning, and data science? How are they related? Read on to find out where they intersect and diverge.

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IBM Cloud Pak for Data DataOps capabilities grow with innovative technology partners

IBM Big Data Hub

As an open, Kubernetes-based, data and AI platform, IBM Cloud Pak for Data integrates with an array of technology solutions that enhance organizations’ ability to make their data ready for AI.

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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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The Customer Journey to Decision Optimization

Decision Management Solutions

Balancing key profit drivers such as revenue, risk, & costs is central to success in lending and many other high volume, transactional decisions targeted with Decision Management. The decision improvement lifecycle is central to delivering the full value of decision management. Being able to rapidly and effectively execute decisions, monitor their effectiveness, learn what works (and what does not), and iteratively improve your decision-making results in significant business benefit.

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How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search 

Ontotext

Pharma has deep roots in human history with centuries of folk pharmaceutical knowledge offering a hit-and-miss range of natural remedies. But the industry as we know it today actually emerged in the second half of the 19th century when the world’s first factory for the sole production of medicines was found. By the late 19th and early 20th century, some chemical companies had already begun using research labs to explore the medical applications for their products.

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“In case of emergency, press here”

Nutanix

Enable “work from anywhere”—in any circumstance—and do it in 5 easy steps.

IT 49
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Webinar Q&A: Prep Data Faster for AI and ML - A DataRobot Case Study

DataRobot

In a recent webinar, Paxata's Senior Product Marketing Manager Mike White and I demonstrated Paxata's unique ability to eliminate the most common bottleneck in AI and machine learning.

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With Patient Needs Top of Mind, Healthcare Turns to Hybrid

Nutanix

It’s safe to say that few industries are more positively impacted by technology than healthcare.

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30 Best Manufacturing KPIs and Metric Examples for 2020 Reporting

Jet Global

What Is A Manufacturing KPI? A manufacturing Key Performance Indicator (KPI) or metric is a well defined and quantifiable measure that the manufacturing industry uses to gauge its performance over time. Manufacturing companies specifically use KPIs to monitor, analyze, and optimize operations, often comparing their efficiencies to those of competitors in the same sector.

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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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Looking to embark on Industry 4.0 journey? Start (Modernize OT) and Accelerate (Leverage AI): A Two-step IIoT Blueprint (with customer stories)

Nutanix

Embark on the Industry 4.0 journey with a two-step blueprint.

26
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Contextual Topic Identification

Insight

Identifying meaningful topics for sparse Steam reviews Steam ?—? a video game digital distribution service. Steam is the largest online video game selling platform. While it has a very carefully designed customer review system, reviews can only be categorized as “positive” and “negative”, which is not very informative. Product reviews can be an extremely important tool for customers to make purchasing decisions.

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With Patient Needs Top of Mind, Healthcare Turns to Hybrid

Nutanix

It’s safe to say that few industries are more positively impacted by technology than healthcare.

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The Data Behind: Helping Healthcare Get Better

Sisense

Blog. Today, every industry is data-driven. In The Data Behind , we dig into the data creating change in rapidly evolving industries. Healthcare is experiencing a digital transformation, shifting how the medical ecosystem operates and the way that care is delivered. And all of this change comes down to one little word: data. In 2013 , the healthcare industry produced 153 exabytes of data; in 2020, that volume is estimated to increase over 15-fold to 2,314 exabytes.

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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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With Patient Needs Top of Mind, Healthcare Turns to Hybrid

Nutanix

It’s safe to say that few industries are more positively impacted by technology than healthcare.

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Looking to embark on Industry 4.0 journey? Start (Modernize OT) and Accelerate (Leverage AI): A Two-step IIoT Blueprint (with customer stories)

Nutanix

Embark on the Industry 4.0 journey with a two-step blueprint.

21
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“In case of emergency, press here”

Nutanix

Enable “work from anywhere”—in any circumstance—and do it in 5 easy steps.

IT 20
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“In case of emergency, press here”

Nutanix

Enable “work from anywhere”—in any circumstance—and do it in 5 easy steps.

IT 20
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Looking to embark on Industry 4.0 journey? Start (Modernize OT) and Accelerate (Leverage AI): A Two-step IIoT Blueprint (with customer stories)

Nutanix

Embark on the Industry 4.0 journey with a two-step blueprint.

20