Smart Data Collective

JUNE 26, 2019

There’s a growing number of tools that you can use to analyze data for a business. But you may not be overly confident in the results if you don’t take the data’s blind spots into account. There’s no single way to do that, but we’ll look at some possibilities here. The first thing to keep in mind is that a blind spot generally represents an “unknown unknown.” In other words, it’s a factor you didn’t take into account because you didn’t

ROI 100

ROI Statistics Machine Learning Measurement 100

Analytics Vidhya

JUNE 24, 2019

Overview Which programming language should you pick for data science? Here’s a list of 6 powerful ones that are not Python or R These. The post 6 Useful Programming Languages for Data Science You Should Learn (that are not R and Python) appeared first on Analytics Vidhya.

Data Science 307

Data Science Analytics 307

datapine

JUNE 27, 2019

“The only safe ship in a storm is leadership.” – Faye Wattleton. For any business to succeed, it needs purpose, direction, and the resources to grow as well as adapt to the landscape surrounding it – which is why strong leadership is essential. As a CEO, you’re responsible for overseeing every aspect of your business, from the people and the internal culture all the way through to key sales, marketing, and financial strategies.

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Dashboards Sales Cost-Benefit Visualization 245

Rocket-Powered Data Science

JUNE 28, 2019

Here is a compilation of glossaries of terminology used in data science, big data analytics, machine learning, AI, and related fields: Glossary of common Machine Learning, Statistics and Data Science terms. Data Science Glossary on DataScienceCentral. Data Science Glossary. Machine Learning Glossary at Google. Glossary of Artificial Intelligence Terms (From A to Z).

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Data Science Machine Learning Big Data Statistics 218

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Corinium

JUNE 25, 2019

What are the driving forces behind Industry 4.0?

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Analytics Vidhya

JUNE 26, 2019

Overview What does a data scientist do on a day-to-day basis? A popular and must-know question We analyze this question from a data scientist’s. The post Top 5 Must-Read Answers – What does a Data Scientist do on a Daily Basis? appeared first on Analytics Vidhya.

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Analytics Data Science 301

Smart Data Collective

JUNE 23, 2019

In today’s digital age, big data is incorporated into many aspects our daily lives. Big data is essentially massive amounts of data that is used in order to drive strategic decisions. An example of how it is used in daily life is through using online maps such as Google Maps to take the quickest route to work possible. Through the collection of data , patterns of traffic congestion are produced to give you the best route.

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Big Data Cost-Benefit Measurement Management 107

DataRobot

JUNE 28, 2019

It’s been a fun year in the world of professional tennis. From the men’s tour, we’ve witnessed Novak Djokovik winning in Australia, Rafael Nadal winning in France, and Roger Federer rounding out the continued domination of the Big Three. With the emergence of a new generation on the women’s tour, it’s been exciting to watch Naomi Osaka win in Australia and Ashleigh Barty win in France.

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Analytics Vidhya

JUNE 26, 2019

DataHack Summit 2019 Bringing Together Futurists to Achieve Super Intelligence DataHack Summit 2018 was a grand success with more than 1,000 attendees from various. The post Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet appeared first on Analytics Vidhya.

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Machine Learning Analytics Deep Learning 275

Dataiku

JUNE 25, 2019

Plastic may be one of the most versatile materials on this planet, with a broad range of useful applications in almost every aspect of our daily lives, but it’s also one of the worst pollutants. It can take up to 1,000 years to biodegrade and only a small fraction of what we produce ends up being recycled.

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IT 99

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Jedox

JUNE 26, 2019

We are pleased to welcome an expert in Financial Planning and Analysis (FP&A), Mr. Anders Liu-Lindberg, as a guest to the Jedox blog. Mr. Liu-Lindberg is a Senior Finance Business Partner at Maersk and co-author of the book “Create Value as a Finance Business Partner.” He is also a finance industry blogger on LinkedIn with more than 33,000 followers.

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Finance Data-driven Forecasting Marketing 89

IBM Big Data Hub

JUNE 24, 2019

With the automated AI and ML advancements, you may find yourself wondering--what are the overall impacts to business? How will all of this technological progress impact the ways we run our business and perform our jobs?

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Technology 96

Smart Data Collective

JUNE 26, 2019

The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The journal Risk Management and Insurance Review mentions that historically, in the latter half of the twentieth century, the analysis of trends was the primary driver in determining risk in the insurance business.

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Insurance Data Analytics Analytics IoT 92

Dataiku

JUNE 26, 2019

Last year when we surveyed over one hundred data professionals, they ranked organizational change as their third biggest data challenge (behind data cleaning and model productionalization). However, this year, organizational change moved up to the second place slot, suggesting that organizations have not yet overcome the culture change obstacles to data integration.

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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.

Experimentation

Teradata

JUNE 25, 2019

Rob Armstrong discusses the challenges of moving from a departmental solution to operational and production systems working at scale, and how Teradata Vantage can solve for them.

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IBM Big Data Hub

JUNE 27, 2019

While data is an enterprise’s most valuable resource when it comes to gaining competitive advantage and improving business performance, time is a critical component. Businesses run 24x7, tasking our data citizens to maximize actionable insights that will drive the actions of tomorrow.

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IT 77

Smart Data Collective

JUNE 26, 2019

Medical care has relied on the education and expertise of doctors. Human error is common and 250,000 people per year die from medical errors. As the third-leading cause of death in the United States, limiting errors is a key focus in the healthcare industry. Big data and predictive analytics will lead to healthcare improvement. But how? Health IT Analytics previously published an excellent paper on some of the best use cases of predictive analytics in healthcare.

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Predictive Analytics Analytics Insurance Cost-Benefit 91

Depict Data Studio

JUNE 25, 2019

Does the first draft of your report or slideshow have way too much text? Are you looking for strategies for transforming your wall of text into an effective visual? Do you worry that you’re just not a visual person? Are you hesitant to add visuals to your projects because you think it’ll take forever and blow your budget? If so, I wrote this article for you!

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Visualization Reporting Strategy IT 75

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Sisense

JUNE 24, 2019

Migrating your data to the cloud is a huge undertaking, rife with challenges and obstacles. It’s also an opportunity to simplify your life if you choose the right solution. Cloud BI is becoming increasingly common, as more organizations put their data on the cloud. BI providers have responded by offering a range of options to deliver the analytical horsepower users demand, with the simplicity they have come to expect from cloud-based solutions.

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Management Software Risk IT 75

DataRobot

JUNE 25, 2019

Making predictions has been a part of the banking industry since the world was flat. These days, you would be hard-pressed to identify a line of business or function in a bank that doesn’t have multiple needs for predictive analytics.

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Data Science Predictive Analytics Analytics 75

Smart Data Collective

JUNE 25, 2019

Technological development is only speeding up. Virtual reality and high-tech solutions are changing reality in its numerous aspects. Today, we have smart homes with internet-connected kettles and robotic vacuum cleaners, job interviews are conducted by AI, and countless gadgets are meant to make our lives more comfortable and cozy. Very soon, humans may even be able to communicate without words , converting thoughts into electric signals.

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Technology Statistics Big Data Machine Learning 84

Teradata

JUNE 26, 2019

Oxford and Teradata partner to modernize analytics for academic research, shape new bodies of research and find answers to pressing business challenges.

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Analytics 80

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.

Testing

CDW Research Hub

JUNE 27, 2019

Sirius recognized for its strategic business decisions, dedication to client support, and intuitive knowledge of the managed services market. San Antonio, TX – 27 June, 2019 — Sirius Computer Solutions, Inc. (Sirius), a leading national IT solutions integrator, ranked first in what is widely viewed as the most comprehensive global survey of managed services providers (MSPs), Channel Futures /Channel Partners’ 2019 MSP 501.

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Management Optimization Strategy Marketing 72

IBM Big Data Hub

JUNE 26, 2019

Businesses should consider a database that is both powered by, and built for, AI. Learn why you should start your AI journey with Db2 11.5.

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Enterprise 83

Smart Data Collective

JUNE 26, 2019

Python is arguably the best programming language for machine learning. However, many aspiring machine learning developers don’t know where to start. They should look into the scikit-learn library, which is one of the best for developing machine learning applications. It is free and relatively easy to install and learn. Why machine learning programmers should be familiar with scikit-learn.

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Machine Learning Statistics Testing IoT 77

Teradata

JUNE 25, 2019

Find out how Swedbank has partnered with Teradata to illuminate the customer journey, delivering answers to the business and a superior customer experience.

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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.

Management

MLWhiz

JUNE 27, 2019

I love Jupyter notebooks and the power they provide. They can be used to present findings as well as share code in the most effective manner which was not easy with the previous IDEs. Yet there is something still amiss. There are a few functionalities I aspire in my text editor which don’t come by default in Jupyter. But fret not. Just like everything in Python, Jupyter too has third-party extensions.

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IBM Big Data Hub

JUNE 28, 2019

Many companies struggle with outdated, duplicate or incorrect customer data. At Localiza, we can go beyond identifying the customer by name, profession and role -- to customizing the entire experience based on the customer’s past history with us. With this 360-degree view of each customer’s current activity and rental or purchase history, we can deliver more responsive and personalized service.

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Smart Data Collective

JUNE 25, 2019

Big data is making it easier for marketers to make the most of their campaigns. Facebook, Google and other major companies collect massive troves of data , which are invaluable for advertisers. Unfortunately, this data is useless without a well-thought out strategy. You need to know how to apply your data before you can get any value from it. Leveraging Data for an Optimal Audience Targeting Campaign.

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Big Data Strategy Data Processing Data mining 74

Andrew White

JUNE 28, 2019

Book Review: AI Super-Powers: China, Silicon Valley, and the New World Order, by Kai-Fu Lee, 2018. Houghton Mifflin Harcourt. Mr. Lee is the ex-President of Google China and now chairmen and CEO of a tech-focused investment firm focusing on China. He clearly has spent a lot of time looking for disruptive technologies and also AI and how AI can impact our lives.

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Data-driven Technology Strategy Marketing 56

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