Analytics Vidhya
FEBRUARY 19, 2020
Overview MongoDB is a popular unstructured database that data scientists should be aware of We will discuss how you can work with a MongoDB. The post MongoDB in Python Tutorial for Beginners (using PyMongo) appeared first on Analytics Vidhya.
IBM Big Data Hub
FEBRUARY 19, 2020
This story is part of Analytics Heroes , a series of profiles on leaders transforming the future of business analytics.
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Smart Data Collective
FEBRUARY 19, 2020
Injection molding is vital to the mass production of plastics and plastic products. Due to the variety of complications with mold design and mold manufacturing, and the combining of plastics and molding machines, there is difficulty in molding products with high quality and precision. However, Big Data and Cloud technology make the process simpler and improve quality.
Juice Analytics
FEBRUARY 19, 2020
via GIPHY Your choices for visualizing and communicating data are a bit of a mixed blessing: There are low-code ways to build interactive analytical apps. For example, R Shiny is great if you're a data scientist who loves R — but not so good if you’re non-technical. You can use no-code tools to create beautiful visualizations. I'm impressed with Flourish's beautiful collection of embeddable visualizations — but stand-alone visualizations are limiting.
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.
Smart Data Collective
FEBRUARY 19, 2020
Businesses seeking new capital are facing a couple new changes that they need to be prepared for. Lenders are tightening their actuarial criteria and employing data driven decision making capabilities. If a company is looking to borrow money, they need to understand how big data has changed the process. They need to adapt their borrowing strategy to the new big data algorithms to improve their changes of securing a loan.
IBM Big Data Hub
FEBRUARY 19, 2020
When providing care for the elderly, you have a tremendous responsibility to your residents and their families. With 10 care homes and up to a thousand residents, SummitCare is committed to providing accurate and up-to-the-minute data on KPIs, as well as complete transparency to ensure that they are upholding the highest standards. With staff alerted to potential issues, SummitCare is able to provide the best quality care their residents deserve.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Decision Management Solutions
FEBRUARY 19, 2020
Automating decisions about transactions lets them be handled in real-time, providing better customer service. If that decision fails to detect fraudulent transactions, this lets fraud into the system. Once a fraudulent transaction has been allowed, you are committed to a “pay and chase” approach to eliminating it. This has a poor success rate.
Data Insight
FEBRUARY 19, 2020
At Data Insight, we believe that Artificial Intelligence approaches are an essential tool in the analytics toolbox. At DI day, our Lead Data Scientist, Rob Anderson shared how AI can help Kiwi businesses achieve their goals. The key takeaways for the audience were: Why should we care about AI? AI can enable organisations to gain a competitive advantage, by providing new levels of insight into customers and business processes.
Perceptual Edge
FEBRUARY 19, 2020
In season 1, episode 3 of the television series “Star Trek: Discovery,” when faced with a particularly wicked problem the captain of the starship Discovery speaks these words: “Universal law is for lackeys; context is for kings.” I suspect that the writers of this show consciously crafted these words for quotability. They rise to the heights of wisdom that Star Trek occasionally reaches.
Ontotext
FEBRUARY 19, 2020
The term “knowledge graph” (KG) has been gaining popularity for quite a while now. Today, as the number of decision-makers recognizing the importance of more dynamic, contextually aware and intelligent information architectures is growing, so is the number of companies with solutions based on knowledge graphs. Although there is still no single, universally accepted definition, there have been various attempts at it – such as in Towards a Definition of Knowledge Graphs.
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.
Sisense
FEBRUARY 19, 2020
Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Digital transformation is more than a buzzword. Global organizations are in a race for their survival. Successful organizations will not only leverage data to increase operational efficiency, but also use it to differentiate their offerings in the market.
Insight
FEBRUARY 19, 2020
Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. Hollywood is a $10 billion-a-year industry, and movies range from huge hits to box office bombs. Predicting how well a movie will perform at the box office is hard because there are so many factors involved in success.
Sisense
FEBRUARY 19, 2020
Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Digital transformation is more than a buzzword. Global organizations are in a race for their survival. Successful organizations will not only leverage data to increase operational efficiency, but also use it to differentiate their offerings in the market.
MLWhiz
FEBRUARY 19, 2020
We as data scientists have got laptops with quad-core, octa-core, turbo-boost. We work with servers with even more cores and computing power. But do we really utilize the raw power we have at hand? Sometimes we get limited by the limitation of tools at our disposal. And sometimes we are not willing to write all that extraneous code to save a couple of minutes.
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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