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.
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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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
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.
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.
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.
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 […].
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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).
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 […].
Jenny Sussin
MARCH 19, 2019
I know Chicago and Rent went from stage to screen, but in 2019 it’s pretty refreshing to take your eyes off of a screen. Most people consume Gartner research on the small screen: a computer, a tablet, a phone…but with 2019 conference season underway it’s worth looking up to the stage to learn about improving your customer experience.
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 […].
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.
bridgei2i
MARCH 19, 2019
Bangalore, 19th March 2019. BRIDGEi2i is proud to announce that Paromita Mitra, Lead – Products & Solutions, has been recognized with a Women in AI Leadership Award by Analytics India Magazine at The Rising, an event organized by AIM to celebrate Women’s Day. The ‘Women in AI’ award recognizes the contribution of women technology leaders who have demonstrated considerable experience in data science and AI leadership in the analytics industry.
TDAN
MARCH 19, 2019
From time to time, TDAN.com polishes off oldie but goodie content. A regular columnist required time to address personal issues, so we are substituting one of my past columns in its place. I hope you have as good a time reading it as I had writing it back in October of 2017. While I was […].
Rocket-Powered Data Science
MARCH 19, 2019
Diversity in data is one of the three defining characteristics of big data — high data variety — along with high data volume and high velocity. We discussed the power and value of high-variety data in a previous article: “ The Five Important D’s of Big Data Variety ” We won’t repeat those lessons here, but we focus specifically on the bias-busting power of high-variety data, which was actually the last of the five D’s mentioned in the earlier article: Decrease
TDAN
MARCH 19, 2019
Predicted to grow to a stunning $29 billion by 2022 at a 1.9% Compound Annual Growth Rate (CAGR), the CRM software market takes a notable portion of the global information technology industry. These healthy markers mean CRM adoption is going strong, and companies of all sizes, SMBs included, look into implementing the system for the […].
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.
Cloudera
MARCH 19, 2019
Are you floundering in a Red Ocean of competition? Modern enterprises operate in an extremely competitive (red ocean) and turbulent, hyperconnected white water world. To better appreciate the competitive environment in which your company is operating, ask yourself the following questions: Are you confronted with increased competition both domestically and internationally?
TDAN
MARCH 19, 2019
The restaurant and catering sector is one of the largest industries which serves the expectations of millions daily. While everyone visits establishments like restaurants with their own sets of expectations, it is up to the players in this sector to ensure those expectations are being met. To achieve these expectations, companies are increasingly turning towards […].
Smarten
MARCH 19, 2019
As business organizations fight for competitive advantage, funding for projects and large expenditures can fall by the wayside. In today’s competitive business market, every senior executive looks at risk, value and calculations like return on investment (ROI) and total cost of ownership (TCO) before approving a budget. When it comes to Advanced Analytics , businesses large and small may hesitate to invest the time and effort in choosing and implementing a solution.
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