O'Reilly on Data

JANUARY 22, 2019

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. In this blog post, we explore three types of errors inherent in all financial models, with a simple example of a model in TensorFlow Probability (TFP).

Modeling 135

Modeling Finance Uncertainty Data mining 135

Timo Elliott

JANUARY 22, 2019

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. 1. Machine learning everywhere. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.

Analytics 96

Analytics Machine Learning Unstructured Data Digital Transformation 96

IBM Big Data Hub

JANUARY 22, 2019

The Forrester Wave has named IBM a leader across five AI-related categories. Most recently, IBM Cloud Private for Data earned its place among vendors offering enterprise insights platforms.

Enterprise 82

Enterprise IT 82

Business Over Broadway

JANUARY 20, 2019

Analysis of usage patterns of 16 data science programming languages by over 18,000 data professionals showed that programming languages can be grouped into a smaller set (specifically, 5 groupings). That is, some programming languages tend to be used together apart from other programming languages. A few of the different groupings of languages reflect specific types of applications or specific roles that data professionals could support, including analytics, general-purpose, and front-end effort

Machine Learning 79

Machine Learning Data Science Data-driven Statistics 79

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Paul DeBeasi

JANUARY 25, 2019

Developers with no data science experience are now able to integrate Machine Learning (ML) with IoT. As the number of IoT endpoints proliferate, the need for organizations to understand how to architect machine learning with IoT will grow rapidly. However, for this to occur, IoT architects and data scientists must overcome the challenge of having two very different disciplines collaborate closely to design an ML-powered IoT system.

IoT 75

IoT Machine Learning Deep Learning Data Science 75

Timo Elliott

JANUARY 23, 2019

I was honored yesterday to be one of the panelists in one of a series of SAP Radio 2019 prediction shows, hosted by Bonnie D. Graham. You can catch a recording of the session Voice America site or below. . [link]. I’m on at 21′ in — here’s a rough transcript of what I talked about: “My prediction for 2019 is that we’re at the start of a new golden age for human intelligence. .

Data Processing 94

Data Processing Predictive Analytics Machine Learning Dashboards 94

BizAcuity

JANUARY 25, 2019

Today, there is a vast ocean of data that is being amassed every minute, every day. The biggest challenge is what we make of that data and how fast. Real-time analytics is a practice that analyzes this data as and when it comes into the system. Analysts are continuously sifting through and studying this data in order to identify a pattern or identify important insights that help can help businesses make informed decisions.

Analytics 75

Analytics Machine Learning Sales Marketing 75

erwin

JANUARY 24, 2019

Organizations are responsible for governing more data than ever before, making a strong automation framework a necessity. But what exactly is an automation framework and why does it matter? In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

Timo Elliott

JANUARY 22, 2019

Andy Bitterer and Timo Elliott talking about the top ten analytic trends for 2019. The first #AskSAP web seminar of the year was on the topic of the top trends in analytics for 2019. It was hosted by Avery Horzewski and featured SAP Analytic Evangelist Andy Bitterer and myself chatting about our top ten favorite themes for this year in the area of business intelligence, analytics, data platforms, big data, and artificial intelligence.

Analytics 68

Analytics Data Processing Business Intelligence Big Data 68

IBM Big Data Hub

JANUARY 24, 2019

A new Forrester Consulting study commissioned by IBM from October 2018 shows that fast data with fast analytics is an enormous, rapidly growing resource that’s not being used to its full potential.

Consulting 77

Consulting Analytics IT 77

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Data-driven

BizAcuity

JANUARY 21, 2019

Technology is the pursuit for more, isn’t it? Today, across all spectrums of business, technology is being used to empower smarter and efficient solutions. At BizAcuity, we’ve identified one such domain of business that we felt could use a technological makeover. And that is what today’s blog is about – Customer Behaviour Analysis.

Recreation/Entertainment 75

Recreation/Entertainment Data Collection Modeling Technology 75

Jet Global

JANUARY 22, 2019

There are many ways to prepare a budget. While the final result is the same, the road to get there is usually quite different. Between different accounting strategies to budgeting tools, every company around the world has a choice in how they shape their budgeting process. What Budgeting Methodology Do You Use? After speaking with hundreds of Microsoft Dynamics customers, we uncovered the five most commonly used budgeting methodologies and techniques: Top-down budgeting.

Consulting 67

Consulting Management Strategy Enterprise 67

Domino Data Lab

JANUARY 24, 2019

Reflections. Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. This post describes our observations about these three segments and offers advice for folks evaluating products in this space.

Data Science 65

Data Science Marketing Data-driven Statistics 65

IBM Big Data Hub

JANUARY 21, 2019

If you’re an IT professional managing data, it’s time to start planning for the California Consumer Privacy Act of 2018, also known as CCPA. The new guidelines will go into effect on January 1, 2020.

Management 73

Management IT 73

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

DataRobot Blog

JANUARY 20, 2019

by Jen Underwood. A long time has passed since I’ve last written. Thank you to my peers that have reached out and asked what’s going on. Rapidly growing DataRobot keeps me extremely busy. Read More.

Analytics 56

Analytics Predictive Analytics Machine Learning Data Science 56

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge. In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Domino Data Lab

JANUARY 20, 2019

This Domino Data Science Field Note provides very distilled insights and excerpts from Been Kim ’s recent MLConf 2018 talk and research about Testing with Concept Activation Vectors (TCAV), an interpretability method that allows researchers to understand and quantitatively measure the high-level concepts their neural network models are using for prediction, “ even if the concept was not part of the training “ If interested in additional insights not provided in this blog post, please refe

Testing 63

Testing Modeling Machine Learning Data Science 63

IBM Big Data Hub

JANUARY 21, 2019

Every company has its own set of problems that it attempts to solve. In our case, we needed a more efficient and accurate way to identify the relationships between businesses on which we maintain data.

IT 69

IT 69

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Teradata

JANUARY 21, 2019

Applying deep reinforcement learning to real world problems has the potential to revolutionize how businesses tackle many of their core business challenges.

Enterprise 45

Enterprise 45

ScienceSoft

JANUARY 24, 2019

Is inventory optimization still your headache? Here, we describe three pills you can take - simple math, statistics and machine or namely deep learning - and show why data science can be your #1 painkiller.

Data Science 40

Data Science Optimization Deep Learning Statistics 40

Data Virtualization

JANUARY 23, 2019

Mergers and acquisitions are a fact of life, and they often take a toll on everyday business; people, real estate, processes, and systems need to be properly integrated before the acquiring company and the acquired company can act as one. The post How Digital Realty Weathers Acquisitions with No Impact on Daily Operations appeared first on Data Virtualization and Modern Data Management.

Management 40

Management Data Governance 40

Smarten

JANUARY 22, 2019

A Data and Analytics Platform to Support Business Users and Data Scientists! A cutting-edge advanced analytics vendor takes an innovative approach to the data and analytics platform by focusing on Technology Leadership, Team Environment and a Customer and Partner Focus. A modern analytics platform should include predictive analytics for business users with cutting-edge business intelligence and data discovery tools.

Analytics 40

Analytics Predictive Modeling Predictive Analytics Business Intelligence 40

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven

Paris Technologies

JANUARY 22, 2019

With the next big release of PowerOLAP® Version 20 expected for Q3, now is the best time to upgrade to Version 18, if you haven’t already done so. For one, the transition to Version 20 will be that much easier. And, right now, you can take advantage of some great features in advance of Version 20’s official release. The two biggest highlights of this Version 18 upgrade are the new Initiators and […].

Software 40

Software Business Intelligence 40

Teradata

JANUARY 21, 2019

Applying deep reinforcement learning to real world problems has the potential to revolutionize how businesses tackle many of their core business challenges.

Enterprise 40

Enterprise 40

Nutanix

JANUARY 21, 2019

In Part I of this blog, we talked about “the interesting times we live in” regarding the state of Federal IT. The problem is – managing and delivering IT shouldn’t be an adventure.

IT 20

IT Management 20

Smarten

JANUARY 21, 2019

Learning for Citizen Data Scientists and Data Literacy Across the Enterprise! So you want to transform your business users and encourage learning for Citizen Data Scientists to enable data literacy across your enterprise? If your business is like most, your average business user doesn’t know (or need to know) the details of sophisticated algorithms and analytical techniques.

Analytics 40

Analytics Predictive Modeling Forecasting Testing 40

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

Teradata

JANUARY 23, 2019

Ron Luebke discusses the pains of switching cloud providers.

IT 40

IT 40

Teradata

JANUARY 23, 2019

Ron Luebke discusses the pains of switching cloud providers.

IT 40

IT 40

Nutanix

JANUARY 24, 2019

We recently concluded a whirlwind three days at the National Retail Federation (NRF) conference in New York, where we had great conversations with retailers and suppliers of all types.

20

20

Nutanix

JANUARY 24, 2019

Cloud cost anomaly detection is a vital tool in keeping your cloud costs under control. To put it in perspective, balancing your own budget isn’t always easy – even if you’re the most frugal person you know.

IT 20

IT 20

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling