The Innovator’s Dilemma in Financial Services Data
Corinium
JANUARY 6, 2020
Life at the top of the food chain is more precarious than it seems for enterprises in the financial services industry.
Corinium
JANUARY 6, 2020
Life at the top of the food chain is more precarious than it seems for enterprises in the financial services industry.
Juice Analytics
JANUARY 6, 2020
I like to think that the hero in your data story is your audience. The hero is the person who starts with conflict and, through the narrative journey, is transformed to resolve this conflict. That’s what you want the data story to accomplish for your audience — start with a question and move your audience (hero) to actions that will resolve the question.
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KDnuggets
JANUARY 6, 2020
Reducing images to numbers makes them amenable to computation. Let's take a look at the why and the how using Python and Numpy.
DataCamp
JANUARY 6, 2020
Understand the differences between the two most popular options for storing big data.
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.
KDnuggets
JANUARY 6, 2020
This article is an overview of H2O, a scalable and fast open-source platform for machine learning. We will apply it to perform classification tasks.
Jet Global
JANUARY 6, 2020
As one of the world’s foremost business consulting firms, people take notice when McKinsey decides to change how it evaluates companies. At the beginning of 2013, evaluations were based on 37 criteria, each considered to be a key indicator of organizational health. By the end of 2014, McKinsey consultants were including two new criteria considered crucial for 21st-century businesses: speed and flexibility.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Jet Global
JANUARY 6, 2020
Wes Gillette, VP of Product Management, insightsoftware discusses the problems most Finance professionals face with ERP financial reporting. Business intelligence (BI) tools have become an enterprise software staple, and it’s easy to see why: the ability to explore, visualize and share business data has made BI solutions a bedrock upon which faster, better decisions can be made.
KDnuggets
JANUARY 6, 2020
In this webinar, Jan 15 @ 12PM EST, we'll offer solutions to the common challenges data scientists and data engineers face when building a machine learning pipeline. Register now to attend live or to watch a recording afterwards.
Paul Turley
JANUARY 6, 2020
Activity monitoring and troubleshooting with the new logging API is focused entirely on Power BI tenant events like dashboard, interactive and paginated reports views, deployments, errors and data refresh events. This should be easier than before, enabling admins to be more proactive by track usage patterns. In a short series of blog posts, I'll demonstrate how to build a complete activity logging and reporting solution for your entire Power BI tenant.
KDnuggets
JANUARY 6, 2020
Also: Predict Electricity Consumption Using Time Series Analysis; What is the most important question for Data Science (and Digital Transformation); Why Python is One of the Most Preferred Languages for Data Science?; What is a Data Scientist Worth?; How to Speed up Pandas by 4x with one line of code.
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.
Andrew White
JANUARY 6, 2020
I noted a couple of stories in the press recently that show how migrating applications and their associated data to the cloud isn’t as simple as lift and shift. Sure, the marketing phrase makes the effort sound easy: what can be simpler than taking ‘process A’ from one location (i.e. on premises or in a data center) to another (i.e. cloud service)? The problem might be that too many vendors use the ‘lift and shift’ label for what is in effect a brand-new or re-implementation… The first art
Jen Stirrup
JANUARY 6, 2020
For the past couple of years, I’ve been trying to grow in different ways. I have been trying to step out of my ‘techo’ chamber, and grow into becoming more like people who inspire me. Masters of Business Administration . I have completed all of the taught parts of the course, and I need to undertake a compulsory residential study on the topic of “Tackling Challenges in Ethics, Responsibility and Sustainability”, and I am looking forward to it.
Analytics Vidhya
JANUARY 6, 2020
Introduction What a time to be working in the deep learning space! 2019 was chock full of deep learning-powered developments and breakthroughs – it. The post A Comprehensive Learning Path for Deep Learning in 2020 appeared first on Analytics Vidhya.
DataRobot
JANUARY 6, 2020
As a football fan who is also a data scientist, the one question I get asked the most by my friends is this:
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.
Data Science 101
JANUARY 6, 2020
As 2020 begins, there has been limited cloud data science announcements so I put together some predictions. Here are 3 things I believe will happen in 2020. 1. Cloud Collaboration. I think we are going to see more interoperability between the major cloud providers. For example, Azure Arc now allows you to run Azure products on a kubernetes container running anywhere (even in Amazon Web Services or Google Cloud) and AWS Outposts runs AWS on-premise.
FineReport
JANUARY 6, 2020
Reporting tools play vital importance in transforming data into visual graphs and charts, presenting data in an attractive and intuitive manner. An excellent reporting tool will let you gather information conveniently and to have a comprehensive view of your business. Today, I listed the 10 best reporting tools you can’t miss in 2020, which covers the open-source and commercial, different types of reporting tools.
Sisense
JANUARY 6, 2020
Blog. Nowadays, sales is both science and art. Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. This process helps sales managers manage and invest in their team and anticipate opportunities that lead to exceeding revenue goals. Why sales and analysts should work together.
bridgei2i
JANUARY 6, 2020
Digital disruption has brought about significant changes in the way companies do their business. With rapidly advancing analytics capabilities owing to the incorporation of machine learning and artificial intelligence, businesses are able to streamline their operations, create new revenue models, and elevate customer experience management. Here are five digital transformation case studies wherein organizations filled the gaps in their operational performance, created greater value for their cust
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
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