Analytics Vidhya
MARCH 21, 2019
Introduction Do you often work with reports in Excel? Or regularly build dashboards and visualizations in Tableau or Power BI? If you answered yes. The post Infographic: 11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals) appeared first on Analytics Vidhya.
datapine
MARCH 20, 2019
“Vision without action is merely a dream. Action without vision just passes the time. Vision with action can change the world.” – Joel A. Barker. Financial analysis and reporting are one of the bedrocks of modern business. While you may already know that financial reporting is important (mainly because it’s a legal requirement in most countries), you may not understand its untapped power and potential.
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O'Reilly on Data
MARCH 22, 2019
Machines will need to make ethical decisions, and we will be responsible for those decisions. We are surrounded by systems that make ethical decisions: systems approving loans, trading stocks, forwarding news articles, recommending jail sentences, and much more. They act for us or against us, but almost always without our consent or even our knowledge.
Rocket-Powered Data Science
MARCH 19, 2019
We hear a lot of hype that says organizations should be “ Data – first ”, or “AI- first , or “ Data – driven ”, or “ Technology – driven ”. A better prescription for business success is for our organization to be analytics – driven and thus analytics-first , while being data -informed and technology -empowered. Analytics are the products, the outcomes, and the ROI of our Big Data , Data Science, AI, and Machine Learning investments!
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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.
Analytics Vidhya
MARCH 17, 2019
Introduction Natural Language Processing (NLP) applications have become ubiquitous these days. I seem to stumble across websites and applications regularly that are leveraging NLP. The post 8 Excellent Pretrained Models to get you Started with Natural Language Processing (NLP) appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
MARCH 20, 2019
I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Mobile Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Rocket-Powered Data Science
MARCH 19, 2019
We often think of analytics on large scales, particularly in the context of large data sets (“Big Data”). However, there is a growing analytics sector that is focused on the smallest scale. That is the scale of digital sensors — driving us into the new era of sensor analytics. Small scale ( i.e., micro scale) is nothing new in the digital realm.
Analytics Vidhya
MARCH 19, 2019
Introduction How do we build interpretable machine learning models? Or, in other words, how do we build trust in the models we design? This. The post DataHack Radio #20: Building Interpretable Machine Learning Models with Christoph Molnar appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
MARCH 18, 2019
For analytics to be effective, they need to be available to line-of-business personnel as needed in their normal course of conducting business, which today means providing rich mobile access to analytics through phones and tablets to support a mobile workforce seeking to conduct business in any location at any time. Workers today expect these mobile capabilities, which means organizations must make choices to provide analytics and BI platforms that can deliver them.
datapine
MARCH 19, 2019
We live in a mobile world. According to the statistics portal Statista , there are currently around 4.78 billion mobile device users worldwide. No longer are we bound by the shackles of cumbersome desktop PCs or one specific geographical location to conduct research or complete online data analysis or other important online tasks. In this hyperconnected age, it’s possible to connect, campaign, and produce from anywhere you may be in the world – and the mobile revolution is responsible for this s
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.
Data Science 101
MARCH 16, 2019
Recently updated, is the March 2019 Machine Learning Study Path. It contains links and resources to learn Tensorflow and Scikit-Learn. If you are interested in details on the study path and how to best use the resources. There is a livestream on Facebook, Sunday March 17 on the Math for Data Science Facebook page.
Sisense
MARCH 19, 2019
Choosing the right solution to warehouse your data is just as important as how you collect data for business intelligence. To extract the maximum value from your data, it needs to be accessible, well-sorted, and easy to manipulate and store. Amazon’s Redshift data warehouse tools offer such a blend of features, but even so, it’s important to understand what it brings to the table before making a decision to integrate the system.
DataRobot
MARCH 20, 2019
The 2019 NCAA March Madness tournament has arrived! This is one of the most famous annual sports events in the United States, bringing together the best Division 1 men’s and women’s college basketball teams from 68 schools to compete against each other for the NCAA Champion title.
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.
TDAN
MARCH 19, 2019
Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way. Which concepts will be forgotten in five years and which […].
BizAcuity
MARCH 18, 2019
An unsecured loan is a loan issued and supported solely by the borrower’s creditworthiness, rather than by any kind of collateral. The terms of such loans, including approval and receipt, are therefore most often contingent on the borrower’s credit score. The consumer lending business is centered on the notion of managing the risk of borrower default.
Jet Global
MARCH 18, 2019
The key to making accurate, profitable decisions at the speed of business is complete data access and control. That simple concept is the premise of all of our product development. Why? Because at Jet Global, we believe in empowering everyday business users to become instantly successful and productive in an environment that is both user-friendly and secure.
Teradata
MARCH 19, 2019
Teradata is thrilled to be named one the of the World’s Most Ethical Companies, for the tenth consecutive year.
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.
Dataiku
MARCH 19, 2019
The recommendation system topic in machine learning has been extensively documented; nowadays, you can find information ranging from the very basic to the cutting-edge (we’ve written our fair share about the topic too - including not one , not two , but three articles on beer recommendation engines alone).
IBM Big Data Hub
MARCH 18, 2019
Support for Netezza TwinFin and Striper models will end as early as June 2019, potentially leaving business-critical data in unsupported environments. Yet there’s no need for long-time Netezza customers to take those risks. The next stage in Netezza’s evolution has already arrived.
Jet Global
MARCH 20, 2019
If it seems as though we were recapping the largest Microsoft Dynamics NAV, Business Central, and GP partner event just months ago, you are right. New for 2019, Directions North America is now a Spring event, and we’re excitedly preparing for one of our favorite shows of the year, taking place in Las Vegas, Nevada May 5th – May 8th. As a Gold Sponsor, we’re going all in on what has led us to success – our loyal partners!
Sisense
MARCH 20, 2019
As a company that touts the benefits of a full end-to-end BI solution, we certainly know the value of a data engineer. The data engineer’s job is to extract, clean, and normalize data, clearing the path for data scientists to explore that data and build models. To do that, a data engineer needs to be skilled in a variety of platforms and languages. In our never-ending quest to make BI better, we took it upon ourselves to list the skills and tools every data engineer needs to tackle the ever-grow
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.
Teradata
MARCH 18, 2019
Chris Twogood explains Pervasive Data Intelligence and why it's important to large-scale enterprise businesses.
TDAN
MARCH 19, 2019
Metadata Governance is easiest to understand when you separate the term into its two parts – Metadata and Data Governance. Ask any organization that excels in metadata management (or provides thorough documentation of their data, information, and records) whether or not they govern their metadata and they will surely respond affirmatively. These organizations make certain […].
CDW Research Hub
MARCH 22, 2019
Siloed data-storage systems were preventing a large and fast-growing franchisor and operator of fitness centers from gaining important insights to drive further business growth. Access to and visibility of critical customer data was unleashed with the help of Sirius. By implementing a full complement of IBM Analytics solutions, and integrating IBM Cognos Analytics with the client’s Salesforce CRM solution, the client gained deeper insights into its customers.
Smart Data Collective
MARCH 22, 2019
Big data has made its way into virtually every industry. The real estate profession is no exception. Real estate professionals all over the world are benefiting from big data in a number of ways. CIO has published a very introspective article on eight companies that are using big data to disrupt the real estate industry. Here are some of the biggest benefits of big data for real estate.
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.
Dataiku
MARCH 20, 2019
Data science is a team sport that needs to be collaborative to be successful, but data leaders and practitioners often disagree on where exactly responsibility for data quality and data science activation is housed. Without clearly defined and communicated data responsibilities, frustration (and low data ROI) is inevitable.
TDAN
MARCH 19, 2019
In our book, Ethical Data and Information Management, Katherine O’Keefe and I look at the relationship between the Ethic of Society, which today finds expression this morning, in a report from a UK Parliamentary Committee setting out their findings against Facebook and Cambridge Analytica. It is a pretty grim reading. The report concludes that: “Democracy is at risk from the […].
CDW Research Hub
MARCH 20, 2019
CRN , a leading IT news organization and a brand of The Channel Company , recently ranked Sirius among the Elite 150 in their MSP 500 list of top managed services providers. This is the fourth year in a row Sirius has garnered these honors. The 2019 MSP Elite 150 list recognizes large, data center-focused MSPs with a strong mix of on-premises and off-premises offerings, according to the editors at CRN.
Juice Analytics
MARCH 18, 2019
Below is the video recording of a Juicebox healthcare analytics product webinar. The video is about 45 minutes and includes our tips for successful launches, a quick data product demo, and a Juicebox Q&A session at the end. Our tips include which project tasks are best done slowly (e.g. getting your data ready) and which tasks need to move fast (e.g putting a working data product prototype in front of customers).
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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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