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 […].
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.
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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.
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.
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 […].
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.
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.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
IBM Big Data Hub
JUNE 6, 2018
There’s a lot to love about open-source technology. Based on the idea that a community of people can iterate on and improve something better than a single person, team, or even company, open-source promises continuous innovation and community support.
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.
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.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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.
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.
IBM Big Data Hub
JUNE 7, 2018
Decision-makers across many different industries are making complex decisions every day that involve optimizing trade-offs to make the right business choices.
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 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.
Cloudera
JUNE 14, 2018
Gartner’s recently released report “Master Data Management Forms the Basis of a Trusted 360-Degree View of the Customer,” shares the results of an executive survey highlighting several key points, including that customer initiatives, are among CEOs’ top five priorities in 2018. The report includes numerous strategic recommendations and outlines the impact of a Master Data Management (MDM) strategy.
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.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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 27, 2018
Improved customer relations, increased employee productivity, new revenue streams — big benefits await those who breathe new life into their business intelligence strategies.
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 looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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.
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.
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.
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.
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