O'Reilly on Data

SEPTEMBER 13, 2018

The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers. In this episode of the Data Show , I spoke with Alan Nichol , co-founder and CTO of Rasa , a startup that builds open source tools to help developers and product teams build conversational applications. About 18 months ago, there was tremendous excitement and hype surrounding chatbots, and while things have quieted lately, companies and developers continue to refine and define tools for b

Machine Learning 205

Machine Learning Technology 205

David Menninger's Analyst Perspectives

SEPTEMBER 20, 2018

All too often, software vendors view analytics as the end rather than the beginning of a process. I’m reminded of some of the advanced math classes I’ve taken in which the teaching process focused on a few key aspects of a mathematical proof or solution, leaving the rest of the exercise to be worked out by the students. In other contexts, you may hear people say the numbers speak for themselves.

Analytics 107

Analytics Software Optimization Data Governance 107

Bruno Aziza

SEPTEMBER 17, 2018

Now more than ever, businesses are deploying machine learning to drive business results. Learn about the state of machine learning in business today.

Machine Learning 111

Machine Learning 111

IBM Big Data Hub

SEPTEMBER 11, 2018

Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while managing production costs efficiently. Prescriptive analytics helps companies see where process improvements could have the biggest, most immediate impact on their bottom line.

Prescriptive Analytics 81

Prescriptive Analytics Manufacturing ROI Uncertainty 81

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

Business Over Broadway

SEPTEMBER 27, 2018

Retention marketing is about preventing your valuable customers from churning. Reducing customer churn requires you to know two things: 1) which customers are about to churn and 2) which remedies will keep them from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

MLWhiz

SEPTEMBER 21, 2018

We all know about the image classification problem. Given an image can you find out the class the image belongs to? We can solve any new image classification problem with ConvNets and Transfer Learning using pre-trained nets. ConvNet as fixed feature extractor. Take a ConvNet pretrained on ImageNet, remove the last fully-connected layer (this layer’s outputs are the 1000 class scores for a different task like ImageNet), then treat the rest of the ConvNet as a fixed feature extractor fo

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Juice Analytics

SEPTEMBER 5, 2018

Looking to transform your data into a valuable, customer-facing data product? From concept to design and launch, we've worked with dozens of companies to create successful data products. Our checklist provides seven evaluation criteria to see if your data product has what it takes to succeed. Does your data product. Solve a distinct problem? Meet users where they work?

IT 67

IT 67

Bruno Aziza

SEPTEMBER 26, 2018

Every company is a data company. Whether they know it or not. So argue Jedidiah Yueh and Randy Bean in this provocative look at the corporate landscape. The authors argue that data companies will reinvent the world.

IT 80

IT 80

IBM Big Data Hub

SEPTEMBER 17, 2018

Data application resiliency is high on the agenda for CIOs. Gary Brunell from IBM looks at the in-house solution developed by Hotels.com, and how the IBM Big Replicate offering compares.

Strategy 73

Strategy 73

Business Over Broadway

SEPTEMBER 5, 2018

The devastating impact of natural disasters can be measured in human suffering, loss of life and economic impact. It is estimated that 2.5 million people have been directly affected by natural disasters since 2000. Additionally, natural disasters have had an economic impact of $1.3 trillion since 2003. Even though natural events such as floods, earthquakes or hurricanes are inevitable, I believe that their impact can be mitigated through the application of data and analytics.

Data Science 57

Data Science Statistics Advertising Deep Learning 57

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Analytics

John Wheeler

SEPTEMBER 14, 2018

This week, Gartner hosted its annual Security & Risk Management Summit in London and the buzz at the event centered on the new risks associated with the General Data Protection Regulation (GDPR). The discussion was fueled by the recent cyber attack experienced by British Airways (BA). BA disclosed the data breach just prior to our event and it was headline news in London throughout the week.

Risk Management 56

Risk Management Risk Data Processing Management 56

O'Reilly on Data

SEPTEMBER 13, 2018

Ziya Ma discusses how recent innovations from Intel in high-capacity persistent memory and open source software are accelerating production-scale deployments. Continue reading Derive value from analytics and AI at scale.

Analytics 191

Analytics Software 191

Cloudera

SEPTEMBER 17, 2018

SQL development is not a new concept. However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. This puts new pressures on the people working behind the scenes to prepare and serve data in a consumable way to a growing audience with various levels of access credentials and technical expertise.

Data Warehouse 52

Data Warehouse Optimization Visualization Unstructured Data 52

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Here are 20 new definitions, including the first from other contributors (thanks Tenny!): Artificial Intelligence Platform. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls. Data Curation (contributor: Tenny Thomas Soman ).

Analytics 45

Analytics Testing Data Strategy Data Integration 45

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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

IBM Big Data Hub

SEPTEMBER 25, 2018

Scott Hebner, VP, Marketing, IBM Analytics & AI, spoke with Dave Vellante in NYC on the eve of the September 13 taping of the Win with AI digital broadcast.

Broadcasting 75

Broadcasting Marketing Analytics 75

Paul Turley

SEPTEMBER 14, 2018

A service provider or vendor might want to publish multiple copies of a report that should connect to different database servers or databases. In a true multitenant service solution, we would have a singe database with row-level user mapping tables that filter data by the logged in user.

Publishing 40

Publishing Reporting Business Analytics Analytics 40

Smarten

SEPTEMBER 26, 2018

How Can My Business Use Assisted Predictive Modeling to Optimize Resources? There was a time, not so long ago, when predictive analysis, business forecasting and planning for results involved guesswork and lots of unscientific review of historical data. But, today’s competitive business landscape and rapidly moving markets demand more than guesswork.

Predictive Modeling 40

Predictive Modeling Predictive Analytics Forecasting Optimization 40

O'Reilly on Data

SEPTEMBER 13, 2018

Hilary Mason explores the current state of AI and ML and what’s coming next in applied ML. Continue reading Practical ML today and tomorrow.

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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

Cloudera

SEPTEMBER 7, 2018

The worst thing about an inside job is that once it’s detected, it’s usually too late. Early detection is critical to prevent considerable damage arising out of insider threats to the business. But that’s easier said than done! Whether it’s a rogue trader in a bank or brokerage or someone illegally sharing company intellectual property or intelligence, illegal insider actions put enterprises at risk of losing millions.

Machine Learning 49

Machine Learning Risk Unstructured Data Cost-Benefit 49

Hurwitz & Associates

SEPTEMBER 21, 2018

By Jean S. Bozman. VMware is harmonizing the traditional management style of VMware software stacks with CSP cloud provider services – making it possible for VMware to help its customer base move more quickly to cloud-enabled environments. The VMware products that support this strategy were announced at VMworld 2018 in August, 2018. The aim of VMware’s strategy for hybrid cloud and multi-cloud deployments is to provide a consistent environment – whether it runs on-premises in a data center, or o

Software 40

Software IT Strategy IoT 40

IBM Big Data Hub

SEPTEMBER 27, 2018

Daniel Hernandez, VP, IBM Analytics, shares news about IBM's Hortonworks partnership and why OpenShift, IBM Cloud Private, and IBM Cloud Private for Data are gaining momentum.

Analytics 69

Analytics 69

Paul Turley

SEPTEMBER 1, 2018

I’m managing an Agile team project using Microsoft Teams – the new project management platform integrated with Office 365. Teams is a simple and useful project management tool but it’s new and light on features. Using Power BI, we want to show the hourly task burn-down for each two-week sprint.

Management 40

Management 40

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.

Manufacturing

Smarten

SEPTEMBER 24, 2018

Augmented Data Preparation for Business Users Offers Many Benefits! If your enterprise is entangled in complex data preparation and manipulation, and you want to simplify and expand the use of data preparation to leverage data integration and self-service data prep, you need to explore the potential of augmented data preparation. Data extraction, transformation and loading (ETL) can be a complex, time-consuming process, but self-serve data prep is ETL for business users.

Machine Learning 40

Machine Learning Testing Visualization Data Integration 40

O'Reilly on Data

SEPTEMBER 11, 2018

If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows. Data, even “big data,” doesn’t stay in the same place: it wants to move. There’s a long history of language about moving data: we have had dataflow architectures, there's a great blog on visualization titled FlowingData , and Amazon Web Services has a service for moving data by the (literal) truckload.

Advertising 166

Advertising Insurance Experimentation Strategy 166

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Last night we kicked it off with the sixth annual Data Impact Awards Celebration. These awards recognize organizations that transform complex data into actionable insights and illustrate impact to technology, science, health, lifestyle, and

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

CIO Business Intelligence

SEPTEMBER 17, 2018

Like many institutions of higher learning, Indiana University (IU) has been making use of business intelligence (BI) for years. But even with a wealth of data at its disposal, the university's business units struggled to transform that data into insights that could drive meaningful decisions. Its multi-year Decision Support Initiative (DSI) changed all that.

Strategy 40

Strategy Business Intelligence IT 40

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

IBM Big Data Hub

SEPTEMBER 6, 2018

Imagine a searchable data management system that would enable you to review crowdsourced, categorized and classified data. Consider that this system would apply to all types of data — structured and unstructured — and become more robust as more users analyze it.

Data Lake 54

Data Lake Management IT 54

Paul Turley

SEPTEMBER 20, 2018

Following the Power BI World Tour, Seattle event on Oct 30, please join me for a full-day of deep learning. That’s right… it’s on Oct 31st so put on your Wonder Woman or Captain America costume and get ready to exercise your super powers with Power Query and Power BI!

Deep Learning 40

Deep Learning IT Business Analytics Analytics 40

Smarten

SEPTEMBER 14, 2018

No Guesswork! Just Simple, Assisted Predictive Modeling for Every Business User! No matter the market or type of business, there is no room in today’s business landscape for guesswork. You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics.

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

O'Reilly on Data

SEPTEMBER 13, 2018

Chad Jennings explains how Geotab's smart city application helps city planners understand traffic and predict locations of unsafe driving. Continue reading Smarter cities through Geotab with BigQuery ML and geospatial analytics.

Analytics 163

Analytics 163

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