Occam's Razor

MARCH 19, 2018

I worry about data’s last-mile gap a lot. As a lover of data-influenced decision making, perhaps you worry as well. A lot of hard work has gone into collecting the requirements and implementation. An additional massive investment was made in the effort to perform ninja like analysis. The end result was a collection trends and insights. The last-mile gap is the distance between your trends and getting an influential company leader to take action.

Visualization 130

Visualization B2B Dashboards Marketing 130

BA Learnings

MARCH 31, 2018

Transferrable skills are a core set of skills and abilities, which can be applied to other jobs and industries. Though most examples you will see are related to soft skills like communication, listening, leadership, etc, transferrable skills extend beyond these and it’s extremely important to identify them when thinking of a career change or advancement.

Business Analysis 100

Business Analysis Testing Management Software 100

IBM Big Data Hub

MARCH 16, 2018

March 16, 2018 is the 25th anniversary of the Db2 relational database product on Linux UNIX and Windows. Over the past 25 years, this team has built the Db2 brand for the distributed product, complementing IBM’s Db2 mainframe offering and creating a market force.

Marketing 101

Marketing 101

Boris Evelson

MARCH 2, 2018

In most enterprises, data access is a fait accompli: 72% of global data and analytics decision makers say that they can access the data they need to obtain insights in a timely manner. However, even the most modern BI tools that make data more accessible still require significant subject matter expertise to find the right […].

Business Intelligence 95

Business Intelligence Enterprise Analytics Predictive Analytics 95

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

TIBCO

MARCH 6, 2018

It’s no secret that evolution drives Formula One racing. Each season, teams work to improve safety and energy consumption with the goal of giving fans a great, competitive show with a level playing field. The crux and excitement of F1 racing is for teams to expect the unexpected. Whether it’s weather conditions or a pitfall of an opponent, teams need to be prepared to adapt to changing conditions — even the most minor of changes can have the greatest impact.

Data-driven 75

Data-driven Data Collection Strategy Analytics 75

Paul Blogs on BI

MARCH 25, 2018

I have learned many valuable life lessons coaching kids’ soccer. Like the time my team of 10-year-old boys lost a game 12-0 and I tried to give one of my inspirational after-game pep talks. The players felt down, I felt down and as I tried to tell them the score was not a reflection of the effort they put in, one of the players piped up and said, “Coach, you know only the losing team learns from the game”.

Insurance 66

Insurance Reporting Dashboards Strategy 66

ScienceSoft

MARCH 27, 2018

IoT generates volumes of big data which can be applicable to achieve progress in a number of sectors. However, there are specific features in IoT big data collecting, processing and applying which need to be considered in IoT development.

IoT 56

IoT Big Data Data Collection 56

IBM Big Data Hub

MARCH 14, 2018

Augmented reality (AR) and augmented intelligence systems such as Watson are breaking data outside the confines of a two-dimensional monitor and putting them into a three-dimensional visualization format. Big Data and Analytics Hub spoke with IBM AR designer Ben Resnick about what’s next for Immersive Insights and how data visualization will improve business intelligence for enterprise decision makers.

Visualization 74

Visualization Business Intelligence Big Data Enterprise 74

Perceptual Edge

MARCH 12, 2018

In statistics, what we often identify as randomness in data is not actually random. Bear in mind, I am not talking about randomly generated numbers or random samples. Instead, I am referring to events about which data has been recorded. We learn of these events when we examine the data. We refer to an event as random when it is not associated with a discernible pattern or cause.

Statistics 53

Statistics IT 53

Bruno Aziza

MARCH 15, 2018

For many in the industry, Ash Gupta is seen as being the father of data-driven risk analysis, and his efforts have contributed to the increased usage of data and analytics in financial services

Data-driven 52

Data-driven Risk Analytics 52

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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

Juice Analytics

MARCH 14, 2018

The ability of an excel novice (i.e. me) to use a pivot table is basically naught. My ability to manipulate data does not exist, and yet I work for one of the most forward-thinking data presentation companies! Nevermind why I was hired, I quickly learned how to use a Juicebox application because Juicebox is designed with the everyday end user in mind.

Visualization 52

Visualization Snapshot Dashboards Interactive 52

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. Banking, transportation, healthcare, retail, and real estate, all have seen the emergence of new business models fundamentally changing how customers use their services. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

Data-driven 42

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 42

ScienceSoft

MARCH 22, 2018

Big data can drive your company to success, but first you’ll need to deal with 7 major big data challenges. Find out what they are and how to solve them.

Big Data 58

Big Data 58

IBM Big Data Hub

MARCH 21, 2018

Think 2018 is in full swing. We’re inspired hearing from leaders across industries using analytics to transform their business. And we’re thrilled to take part in conversations about data science, machine learning, AI and much more. Here are some highlights from Wednesday at Think.

Machine Learning 73

Machine Learning Data Science Analytics 73

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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

Data Science and Beyond

MARCH 20, 2018

A post I’ve written on applying some software engineering best practices to data science projects. Data for Breakfast. Most data scientists have to write code to analyze data or build products. While coding, data scientists act as software engineers. Adopting best practices from software engineering is key to ensuring the correctness, reproducibility, and maintainability of data science projects.

Data Science 40

Data Science Statistics Software IT 40

Bruno Aziza

MARCH 20, 2018

Cyber attackers have become adept and hyper-active in using SSL for malevolent purposes. This blog covers the biannual analysis of SSL trends conducted by Zscaler’s Threatlabz, which found that the number of SSL encrypted messages that contained advanced threats continued to rise in 2017.

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Juice Analytics

MARCH 21, 2018

Over the years, we’ve had the pleasure to work with many great individuals and companies and through our work have gained the ability to sympathize with their experiences of what we like to call “going from 0 to 100." No, we’re not endorsing excessive speeding in your car. We’re talking about going from having nothing but hopes and dreams about delivering engaging analytics (0) to having an interactive data story that your users don’t want to put down (100).

Visualization 50

Visualization Risk Interactive Strategy 50

Smarten

MARCH 13, 2018

Need Analytics for Business Users AND Data Scientists? No Problem! Does your business intelligence solution provide true advanced analytics capabilities? Can your BI tool satisfy the needs of business users, data scientists and IT staff? That may seem like a tall order but with the right business intelligence software, you can provide predictive analytics for business users, including assisted predictive modeling that walks users through the analytical process and allows them to achieve the best

Predictive Modeling 40

Predictive Modeling Modeling Analytics Predictive Analytics 40

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

ScienceSoft

MARCH 29, 2018

Unlike challenges, big data problems are conceptual and have a much deeper nature. What are they and do they have the power to threaten your business? Find out here.

Big Data 53

Big Data 53

IBM Big Data Hub

MARCH 16, 2018

Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications.

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73

Nutanix

MARCH 7, 2018

Businesses deploying Enterprise Cloud can benefit from a strategy for maximizing the ROI on their investment: every dollar spent needs to drive genuine operational efficiencies.

Enterprise 20

Enterprise ROI Management Strategy 20

The Unofficial Google Data Science Blog

MARCH 22, 2018

by DANIEL PERCIVAL Randomized experiments are invaluable in making product decisions, including on mobile apps. But what if users don't immediately uptake the new experimental version? What if their uptake rate is not uniform? We'd like to be able to make decisions without having to wait for the long tail of users to experience the treatment to which they have been assigned.

Experimentation 62

Experimentation Measurement Modeling Statistics 62

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

Perceptual Edge

MARCH 21, 2018

We typically think of quantitative scales as linear, with equal quantities from one labeled value to the next. For example, a quantitative scale ranging from 0 to 1000 might be subdivided into equal intervals of 100 each. Linear scales seem natural to us. If we took a car trip of 1000 miles, we might imagine that distance as subdivided into ten 100 mile segments.

Uncertainty 66

Uncertainty Visualization IT Reporting 66

Cloudera

MARCH 6, 2018

The real power in machine learning and analytics is when multiple analytics disciplines are able to work together in concert, sharing data in service of solving more complex and more valuable questions. That’s what Cloudera SDX (Shared Data Experience) enables for our customers and why we’re so excited to introduce it today for Cloudera Altus.

Analytics 40

Analytics Metadata Recreation/Entertainment Big Data 40

Smarten

MARCH 7, 2018

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. The idea behind self-service data preparation is to give the average business user the ability to prepare, use, report on and share data without the assistance of IT staff or analysts, thereby making their jobs easier and making every team member more o

Statistics 40

Statistics Data Quality Data Governance Testing 40

IBM Big Data Hub

MARCH 22, 2018

Hard to believe we've arrived at the last day of Think 2018. From keynotes to panels, informal collaborations and learning sessions, we've witnessed first-hand the excitement that conversations about data and analytics bring to business.

Analytics 72

Analytics 72

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

Nutanix

MARCH 29, 2018

One of the largest healthcare IT shows, HIMSS 2018 wrapped up in Las Vegas back in the first week of March and as expected over 1300 companies exhibited in the areas such as cloud computing, artificial intelligence, clinical workflows, and interoperability.

IT 20

IT 20

IBM Big Data Hub

MARCH 22, 2018

Hard to believe, but we’ve arrived at the final day of Think 2018. It’s been thrilling to be part of the energy flowing through the Cloud & Data Campus. We’ve seen an unprecedented level of engagement around analytics and the future of data-driven decision-making. But we’re not done yet. Here are our top picks for analytics pros today.

Data-driven 72

Data-driven Analytics 72

IBM Big Data Hub

MARCH 20, 2018

The excitement, insights and innovation at Think 2018 is truly astounding. Today we heard from IBM Chairman, President and CEO, Ginni Rometty, plus industry leaders and clients who are transforming whole business sectors.

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IBM Big Data Hub

MARCH 19, 2018

Think 2018 is the biggest IBM conference of the year covering all things tech. And, to be sure you don't miss a moment, here are highlights from Monday, March 19, the first day of the event.

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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