Occam's Razor
JUNE 4, 2018
By every indicator available, ecommerce is continuing to grow at an insane speed. Although it may seem impossible to imagine with ecommerce already totaling up to 5% of overall commerce, there’s astronomical growth still to come. Still, I’m heartbroken that some the simplest elements of ecommerce stink so much. It is 2018—why are there still light gray below-the-fold add to cart buttons?
Bruno Aziza
JUNE 17, 2018
Establishing trust in data is critical. Organizations are now employing AI, Machine Learning, Blockchain to ensure data reliability and integrity.
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Boris Evelson
JUNE 14, 2018
Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb! Luckily there are mature technologies out there that can help. First, enterprise information architects should consider general purpose text analytics platforms. These are capable of handling most if not all text analytics use […].
IBM Big Data Hub
JUNE 26, 2018
In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz. In this scenario common to the insurance industry, an organization needs to adjust its operations based on upcoming weather event and multiple weather indicators can improve forecast accuracy.
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.
CIO Business Intelligence
JUNE 14, 2018
Business intelligence (BI) and analytics platforms are a staple of informatics for medium to large businesses. Visual-based data discovery has been a key component of BI since about 2004; this trend has moved the responsibility for analytics from IT to self-service by business analysts and managers, with support from data scientists and database administrators.
ScienceSoft
JUNE 20, 2018
Similar at first glance, Cassandra and HBase actually are quite different in terms of architecture, performance and data models. What are these differences and how do they influence the tasks that HBase and Cassandra perform? It’s all here.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Bruno Aziza
JUNE 3, 2018
Mary Meeker is a legend in Silicon Valley. Ever year, she comes out with what many think is the most complete and thorough analysis of the technology industry. Her presentations are full of great graphs, her slides full of data.there is one problem though.
Paris Technologies
JUNE 26, 2018
The budgeting and forecasting process for most organizations is long and tedious and occurs on an annual basis, at least. Companies try to do it more often to improve accuracy and aim to ultimately implement a procedure for continuous planning or rolling forecasts. Unlike any other business process, budgeting and forecasting is unique because it is […].
IBM Big Data Hub
JUNE 21, 2018
Running a machine learning pilot project is a great early step on the road to full adoption. To get started, you’ll need to build a cross-functional team of business analysts, engineers, data scientists and key stakeholders. From there, the process looks a lot like the scientific method taught in school.
Mark Raskino
JUNE 29, 2018
Here’s something that I sometimes hear CEOs and other business leaders say – and seemingly without much forethought. “Of course, the technology is the easy bit.” It’s one of those trite phrases that gets picked up and repeated in everyday corporate life, as if they were statements of obvious truth and wisdom, upon which we all agree.
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.
ScienceSoft
JUNE 1, 2018
Rumor has it: Apache Cassandra performance is amazing. But are there any grounds for these talks? Should you immediately fall in love with Cassandra because ‘she’ is so cool or should you just stay friends? Make the decision here.
John Wheeler
JUNE 29, 2018
Have you ever been driving your car down the road when you notice the ride is bumpier than usual? Or perhaps, the car strangely veers to the right or the left? These signs point to the fact that your wheels are not balanced and aligned properly. The same can occur for integrated risk management (IRM) technology customers. Top IRM technology solutions deliver two success factors – balance and alignment – to customers seeking to add value to the business.
Bruno Aziza
JUNE 6, 2018
Businesses are taking a serious look at Blockchain. But, how much is future potential versus current adoption. This post takes a look at the state of Blockchain in industry today.
DMBS2
JUNE 20, 2018
Every system — computer or otherwise — needs to deal with possibilities of damage or error. If it does this well, it may be regarded as “robust”, “mature(d), “strengthened”, or simply “improved” * Otherwise, it can reasonably be called “brittle” *It’s also common to use the word “harden(ed)” But I think that’s a poor choice, as brittle things are often also hard. 0.
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.
IBM Big Data Hub
JUNE 5, 2018
Businesses are likely to look back on the early days of the GDPR and tell stories about how their relationships with customers changed forever. What will your story be?
CIO Business Intelligence
JUNE 11, 2018
Forty-two percent of respondents to CIO' s recent State of the CIO survey say that their marketing department currently has budget specifically earmarked for investments in technology products and services — almost all of them within the next three years. If that figure sounds high to you, it shouldn't. As David Ginsburg, vice president of marketing at Cavirin, said when asked about that figure, "What is strange is that only 42 percent have explicitly budgeted for tech.
Cloudera
JUNE 29, 2018
Over the past decade, Cloudera University has taught more than 50,000 developers, administrators, analysts, and data scientists how to apply big data technologies. Developers are learning the APIs, so they can create new applications that were never before possible. Administrators learn to plan, install, monitor, and troubleshoot clusters. And analysts discover the power of SQL over large, diverse datasets.
Jedox
JUNE 26, 2018
This is the third in a series of blogs discussing the requirements of a successful Corporate Performance Management (CPM) implementation. The first two blogs stressed the importance of Executive Involvement and explained why the Office of the CFO, not IT, should lead the implementation. This installment encourages the customer to seek a partner focused on CPM, not a vendor dedicated to selling software.
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DataRobot Blog
JUNE 30, 2018
by Jen Underwood. Both data-driven organizations and analytics software vendors today face a wide spectrum of complex challenges navigating an entirely new world of cloud app data sources. From security to agility, scale, Read More.
Smarten
JUNE 28, 2018
This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. What is Hierarchical Clustering? Hierarchical Clustering is a process by which objects are classified into a number of groups so that they are as much dissimilar as possible from one group to another group and as much similar as possible within each group.
IBM Big Data Hub
JUNE 19, 2018
The modern data landscape demands more than one type of database. That’s IBM has rolled out JSON-document-based databases in Db2 and Cloudant, as well as partnered with select database providers to offer developer-focused database services through the IBM Compose platform.
Hurwitz & Associates
JUNE 28, 2018
By Jean S. Bozman. Chief Data Officers (CDOs) have a weighty responsibility: they are “on point” to find the actionable insights and data trends from analysis of data lakes, data repositories and virtual “seas” of data flowing across their large organizations. Data silos, different data formats – and organizational changes combining disparate data systems – make the CDO’s tasks challenging.
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.
CIO Business Intelligence
JUNE 25, 2018
For far too many organizations, business intelligence (BI) brings to mind simple statistical summaries in stodgy, dated reports. But beneath BI’s dull surface, keen insights await — especially for those willing to revamp their business intelligence strategy to tackle the kinds of issues forward-thinking organizations are already addressing with modern BI.
Nutanix
JUNE 5, 2018
We’ve been struggling for months now to hold our tongues and not prematurely talk about this popular topic. We are at the cusp of yet another exciting and natural next step for the Nutanix Enterprise Cloud OS based on hyperconverged infrastructure (HCI), as we continue to expand into the core of the enterprise data center.
DataRobot Blog
JUNE 25, 2018
by Jen Underwood. In light of recent S-1 confessions and warnings about DOMO’s precarious situation, my condolences go out to DOMO’s customers, staff and investors. If DOMO does not pull off a successful IPO, Read More.
Smarten
JUNE 29, 2018
This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. What is the Karl Pearson Correlation Analytical Technique? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease in parallel.
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IBM Big Data Hub
JUNE 7, 2018
This is an era in which everything has become digital. We live in the data-driven society. The difficulty is that all this digital technology still doesn’t totally cooperate.
Birst BI
JUNE 18, 2018
Retailers are focused more than ever on quickly adjusting to changing customer preferences and demand. Specialty’s Café and Bakery is a great example of a retailer that is using data to drive decisions related to product development and selection, inventories, staffing, and more to attract and keep customers. For example, retailers rely on business intelligence (BI) tools to predict future demand for products around known factors such as special events or holidays.
CIO Business Intelligence
JUNE 22, 2018
Investors, whether they be day traders at home or managers of large hedge funds, are data hungry. They pore over earnings reports and company filings and jump to read news alerts. If they’re on the super-sophisticated side, they may be using data models. And if they’re on the cutting edge, they may be using new “alternative” data sets to inform their decisions.
Cloudera
JUNE 4, 2018
Authors: Mai N. Nguyen, Accenture & Mitch Gomulinski, Cloudera. Imagine storing the DNA of the entire population of the US – and then cloning them, twice. That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data.
Advertiser: Data Robot
The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.
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