September, 2018

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Using machine learning to improve dialog flow in conversational applications

O'Reilly on Data

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

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From Analytics to Action Requires Collaboration

David Menninger's Analyst Perspectives

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.

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The State of Machine Learning in Business Today

Bruno Aziza

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

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How to improve manufacturing ROI with prescriptive analytics

IBM Big Data Hub

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.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

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.

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Object Detection: An End to End Theoretical Perspective

MLWhiz

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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Is Your Data Product Ready for Launch?

Juice Analytics

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?

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Every Company Is a Data Company

Bruno Aziza

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.

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How to advance your data consistency strategy

IBM Big Data Hub

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.

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IBM and Data Science are Helping Save the World through Call for Code

Business Over Broadway

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.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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GDPR Requires IRM For Fast and Effective Response

John Wheeler

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.

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Derive value from analytics and AI at scale

O'Reilly on Data

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
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A new era of SQL-development, fueled by a modern data warehouse

Cloudera

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.

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More Definitions in the Data and Analytics Dictionary

Peter James Thomas

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 ).

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Win with AI: The journey to AI starts with collecting data

IBM Big Data Hub

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.

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How to Configure the Power BI Gateway to use Dataset Connection Parameters

Paul Turley

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.

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Predictive Analysis Isn’t Just for Data Scientists!

Smarten

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.

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Practical ML today and tomorrow

O'Reilly on Data

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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Entity Resolution Checklist: What to Consider When Evaluating Options

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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Taking out the threat from the inside

Cloudera

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.

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VMware Finds a Way to Harmonize Its Software with CSP Platforms for Multi-Cloud

Hurwitz & Associates

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

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Win with AI: IBM Cloud Private for Data stacks up for success

IBM Big Data Hub

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.

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Pareto, Burn-down & Accumulating Trend Charts in Power BI

Paul Turley

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.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Self-Service Data Prep for Every Business User!

Smarten

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.

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The ethics of data flow

O'Reilly on Data

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.

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And the winners are…. Congratulations to the Sixth Annual Data Impact Awards winners

Cloudera

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

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Indiana University modernizes BI strategy to drive better decisions

CIO Business Intelligence

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.

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Reimagining CX: How to Implement Effective AI-Driven Transformations

Speaker: Steve Pappas, Chief Strategist, Startup and Early Stage Growth Advisor, Keynote Speaker, CX Podcaster

As businesses strive for success in an increasingly digitized world, delivering an exceptional customer experience has become paramount. To meet this demand, enterprises are embracing innovative approaches that captivate customers and fuel their loyalty. 💥 Enter conversational AI - an absolute game-changer (if done right) in redefining CX norms.

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The business value of a governed data lake

IBM Big Data Hub

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.

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Mastering Power Query in a Day – Full-day training in Seattle

Paul Turley

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!

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Assisted Predictive Modeling for Simple Business Analytics!

Smarten

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.

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Smarter cities through Geotab with BigQuery ML and geospatial analytics

O'Reilly on Data

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.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

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.