Sat.Feb 09, 2019 - Fri.Feb 15, 2019

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. Profiles of IT executives suggest that many are planning to spend significantly in cloud computing and AI over the next year. This concurs with survey results we plan to release over the next few months. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions.

Big Data 211
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IBM Brings Breadth and Depth to Analytics

David Menninger's Analyst Perspectives

I am happy to share some insights about IBM drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Analytics 121
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IBM embraces multicloud warehouse availability on AWS, adds elastic SMP

IBM Big Data Hub

The focus on customer needs for greater choice and flexibility is a constant at the IBM Think 2019 conference. Nowhere is this more evident than in IBM Hybrid Data Management, which supports data of any type, source and structure, be it on-premises or in the cloud.

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Help set the standards for a Data Scientist

Data Science 101

The field of data science is moving fast. People are claiming to be data scientists; yet the knowledge, experience, and backgrounds of those people can be very different. Different is not bad. However, there a little standards around what exactly a data scientist is. Sticking with this week’s theme of “What is a Data Scientist”, an organization titled, Initiative for Analytics and Data Science Standards (IADSS) has kicked-off a research study at global scale.

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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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The technical, societal, and cultural challenges that come with the rise of fake media

O'Reilly on Data

The O’Reilly Data Show Podcast: Siwei Lyu on machine learning for digital media forensics and image synthesis. In this episode of the Data Show , I spoke with Siwei Lyu , associate professor of computer science at the University at Albany, State University of New York. Lyu is a leading expert in digital media forensics, a field of research into tools and techniques for analyzing the authenticity of media files.

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Birst Thrives with Infor’s Support

David Menninger's Analyst Perspectives

I am happy to share some insights on Infor based on our latest market Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

More Trending

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Digital Transformation Examples: How Data Is Transforming the Hospitality Industry

erwin

The rate at which organizations have adopted data-driven strategies means there are a wealth of digital transformation examples for organizations to draw from. By now, you probably recognize this recurring pattern in the discussions about digital transformation: An industry set in its ways slowly moves toward using information technology to create efficiencies, automate processes or help identify new customer or product opportunities.

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An Overview of Sales Analytics in Event Industry

BizAcuity

Sales Analytics in simple terms can be defined as the process used to identify, understand, predict and model sales trends and sales results and in this process of understanding of these trends helps its users in finding improvement points. Sales Analytics is used to determine the success of the previous sales drive and forecast in addition to determine how future sales will fare.

Sales 67
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Predict Your Relationship Future with Machine Learning

DataRobot Blog

by Jen Underwood. In the spirit of Valentine’s Day, let’s explore a fun little Relationship App quiz that forecasts how long your relationship will last. Data from a Stanford University study, How Couples. Read More.

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A breakthrough in GDPR data analytics

IBM Big Data Hub

The European Union recently implemented its General Data Protection Regulation (EU) 2016/679 (GDPR). This new regulation has created a challenge for many organizations in terms of how to maintain compliance with the new data protection and privacy laws while continuing to use data for analytics.

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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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How Tinder Ensures You Can't Help Falling in Love

Dataiku

Dating apps are changing the ways we meet new romantic partners. Whether you’ve succumbed begrudgingly or gleefully, millennials on average spend 10 hours a week swiping and chatting on online dating apps. We know that recommendation engines are keen to predict relationships and anticipate breakups , so that they can send you ads for spa days and ice cream.

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Machine Learning Projects: Challenges and Best Practices

Domino Data Lab

Lukas Biewald is the founder of Weights & Biases. He was previously the founder of Figure Eight (formerly CrowdFlower). This blog post provides insights into why machine learning teams have challenges with managing machine learning projects. He also provides best practices on how to address these challenges. This post was provided courtesy of Lukas and originally appeared on Medium.

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Is AI Enhancing or Disrupting FP&A as We Know It?

Jedox

When I hear or read that artificial intelligence (AI) is “disrupting” financial planning and analysis, I tend to challenge the premise. The word “disrupt” means to me to interrupt, alter or destroy the structure of something. I look at AI (or really all technology for that matter) as having the potential to enhance and/or improve the FP&A function.

IT 53
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Making Watson available on any cloud

IBM Big Data Hub

During the IBM flagship Think conference in San Francisco today, businesses looking to accelerate their transformation with the IBM AI Watson were treated to news that they’ll be able to build, deploy and run AI models and applications across any cloud, giving them the freedom to apply Watson capabilities to their data wherever it is stored.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Training versus Inference

Paul DeBeasi

Few data-driven technologies provide greater opportunity to derive value from Internet of Things (IoT) initiatives as machine learning. The accelerated growth of data captured from the sensors in IoT solutions and the growth of machine learning capabilities will yield unparalleled opportunity for organizations to drive business value and create a competitive advantage.

IoT 49
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A Peek into the Regulatory Future of AI?

Dataiku

Whether you realized it or not, Data Privacy Day 2019 ( yes, it exists! ) has already come and gone. But this year, it was perhaps more significant than most not only because topics of bias, interpretability, and transparency in AI have moved to the forefront, but because the Council of Europe amended their Convention for the Protection of Individuals with regard to Automatic Processing of Personal Data.

IT 45
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IRM Market Visionaries and Challengers Join Forces to Battle Leaders

John Wheeler

In the span of a week, the integrated risk management (IRM) technology market has experienced significant consolidation. Four vendors from Gartner’s inaugural 2018 IRM Magic Quadrant have joined forces to evolve their legacy governance, risk and compliance (GRC) offerings to better compete in the IRM market (see figure below). Last Monday, market challenger ACL announced the acquisition of market visionary Rsam.

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The Data and AI announcements from IBM Think 2019

IBM Big Data Hub

Today at Think 2019, IBM announced a new vision for the future of AI and digital transformation. Along the way, we made a number of announcements and updates that could profoundly impact how enterprises will use analytics and AI to shape the future of their business. In all, it was definitely a big day of news for IBM partners and clients. In case you missed it, here are three major announcements for analytics pros from Think 2019.

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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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Three Takeaways from Gartner’s 2019 Magic Quadrant for Data Management Solutions for Analytics

Cloudera

The Magic Quadrant (MQ) is an established, widely-referenced series of research reports published by the analyst firm Gartner, Inc. The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. A total of 19 vendors satisfied Gartner’s extensive inclusion criteria for insertion in this year’s MQ DMSA report.

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Advanced Analytics to Increase Productivity!

Smarten

Can Citizen Data Scientists Support Advanced Analytical Needs? No business, large or small, has unlimited funds and resources. In a world where data analytics is more important than ever to the business bottom line and competitive position, the typical business cannot afford to hire dozens of data scientists but it absolutely must have access to detailed, clear data analysis that will drive the bottom line and ensure success.

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Connecting #Azure WordPress, #HubSpot data for analyzing data in #PowerBI for a small business #CRM

Jen Stirrup

I got to the end of the free WordPress account for my small business account and I wanted to analyse my CRM and sales data better. I wanted to dial up my sales and marketing, and, of course, use data to understand my audience better. With the free WordPress edition, I could not do some of the things that I wanted, such as HubSpot integration and advanced analytics.

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Turn your ERP failures into optimization success

3AG Systems

ERP. No other three letters can strike such fear into the heart of a CFO. But why is this the case? And what can leaders do to solve this problem? What does ERP stand for First a quick primer. The term Enterprise Resource Planning, or ERP, was first coined by Gartner in the 1990s. It describes software that evolved out of maintenance resource planning and manufacturing resource planning tools developed in the 1960s.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Autodesk Transforms, by Leveraging Data Virtualization

Data Virtualization

Change is sometimes difficult to embrace, especially when it involves downtime. Autodesk, makers of world-renowned 3D design, engineering, and entertainment software, wanted to change from perpetual licensing to subscription-based licensing, but knew that this change would likely impact the entire. The post Autodesk Transforms, by Leveraging Data Virtualization appeared first on Data Virtualization and Modern Data Management.

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This Week at Think 2019: Delivering Excellent Customer Experiences with Analytics and Automation

Decision Management Solutions

Think 2019 is here! Sharpen your skills. Get hands-on experience with the latest technology. Extend your professional network. It’s virtually impossible not to learn something new among this celebrated community of technologists and thought leaders. And have some fun while you’re at it. Explore the technologies that are redefining industries, learn from the experts, and get your biggest questions technology answered.

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Prithvijit Roy Writes for Wiley Innovation Black Book on Exponential Technologies

bridgei2i

Bangalore, 12th February 2019. CEO, BRIDGEi2i, Prithvijit Roy has been featured in the Wiley Innovation Black Book on Exponential Technologies which was released at the Wiley Global Innovation Conclave on January 31st, 2019. Addressing the transformative impact of exponential technologies across industries, the chapter: ‘Staying Relevant in Changing Times: AI to the Forefront of the CPG Storefront,’ touches upon diagnostic analytics and changing consumer behavior in the CPG sector.

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It’s about solving business problems & meeting people… Allen White interview

Paul Turley

I've been remiss about blogging for a little while and have some great stuff to share, starting with this interview with Allen White at the PASS Summit conference in November. Allen is a 15-year PASS veteran and one of the most consistent SQL Server experts in the industry. He's a powerhouse of knowledge, experience and wisdom. He's a long-time SQL Server and Microsoft Data Platform MVP and owner of DataPerf Professionals Consulting, mentor, coach, trainer, co-founder and leader of the Ohio Nort

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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Transforming the business of communication with 5G

Cloudera

3.2 billion. That is the number of unique mobile subscribers that Asia Pacific is projected to have by 2025, which accounts for more than half of the world’s mobile subscribers. Mobile data traffic is predicted to grow at a 40 to 50 percent rate annually, and Internet of Things (IoT) connections from 25 to 30 percent. As technology adoption increases, more service providers require 5G to support the surge of incoming data.

IoT 40
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Is There Such a Thing as Too Much Parallelism?

Teradata

In her blog, Carrie Ballinger discusses parallelism and how you can fashion it to specific needs by using the new sparse map capability

IT 45
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Using BERT for state-of-the-art pre-training for natural language processing

Insight

State-of-the-art pre-training for natural language processing with BERT Javed Qadrud-Din was an Insight Fellow in Fall 2017. He is currently a machine learning engineer at Casetext where he works on natural language processing for the legal industry. Prior to Insight, he was at IBM Watson. In late 2018, Google open-sourced BERT, a powerful deep learning algorithm for natural language processing.

Testing 72
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Five Reasons to Fire Your Rules Consultant

Decision Management Solutions

We do a lot of decision management projects, helping clients adopt the technologies and approaches they need to succeed with digital decisioning and decision automation. One of the key technologies for these types of projects is a Business Rules Management System (BRMS). Sometimes, we get push-back on using business rules because existing business rules projects or past business rules experience have soured a company’s perception of the effectiveness of the technology.

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Your Expert Guide to CX Orchestration & Enhancing Customer Journeys

Speaker: Keith Kmett, Principal CX Advisor at Medallia

Join Keith Kmett, Principal CX Advisor, in this new webinar that will focus on: Understanding CX Orchestration Fundamentals: Gain a solid understanding of what CX orchestration is, its significance in the customer experience landscape, and how it plays a crucial role in shaping customer journeys. This includes the key concepts, strategies, and best practices involved in CX orchestration. 🔑 Connection to Customer Journey Maps: How to effectively integrate customer journey mapping into the