BA Learnings
JANUARY 10, 2018
Swiss cheese has holes in various places on different slices of cheese when you cut it up. Let’s imagine these holes reflect weaknesses in the system where mistakes can pass through, afterall no system is perfect. One mistake passing through a hole in one slice of cheese might remain unnoticed and not lead to a business catastrophe, if it's corrected.
IBM Big Data Hub
JANUARY 16, 2018
Two paradoxes of information technology are: data has no value if you can’t access it, and it’s a liability if the wrong people access it. Company leaders don’t think they need data governance until these paradoxes hit them hard.
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Jim Harris
JANUARY 1, 2018
“The sky is falling!” exclaimed Chicken Little after an acorn fell on his head, causing him to undertake a journey to tell the King that the world is coming to an end. So says the folk tale that became an allegory for people accused of being unreasonably afraid, or people trying to incite an unreasonable fear in those around them, sometimes referred to as Chicken Little Syndrome.
Bruno Aziza
JANUARY 7, 2018
In his latest book, “Thank You For Being Late,” Thomas Friedman highlighted 2007 as one of the most pivotal years in technology: 2007 saw the birth of Hadoop, the iPhone and Amazon’s Kindle for instance. My bet is that 2018 will start a new era for the technology space very much like 2007 did.
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.
Birst BI
JANUARY 16, 2018
When you hear the words “artificial intelligence,” (AI) what’s the first thing you think of: robots doing backflips , Alexa , medical diagnostic innovations or something else? If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics.
The Unofficial Google Data Science Blog
JANUARY 16, 2018
by SANGHO YOON In this article, we discuss an approach to the design of experiments in a network. In particular, we describe a method to prevent potential contamination (or inconsistent treatment exposure) of samples due to network effects. We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
IBM Big Data Hub
JANUARY 4, 2018
Unlock the trusted information about your customers with MDM and empower your business analysts to search, explore and match with other data collections with governed freedom.
Boris Evelson
JANUARY 12, 2018
Most business intelligence (BI) applications are constructed using point-and-click drag-and-drop graphical user interfaces (GUI), but still require end user training and long ramp up times, although not to the extent of learning and writing SQL code. Few business decision-makers access data directly, instead rely on trained business analysts, even for basic information.
Bruno Aziza
JANUARY 2, 2018
Whether it is data-driven marketing, sports analytics, political campaigns, or national security threats, data has become central to any type of informed analysis and plan of action.
Cloudera
JANUARY 12, 2018
I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. And the longer it takes to put a team in place, the likelier it is that your big data project will stall. The data engineering team is responsible for collecting and ingesting batch and stream-oriented data, inventorying the data, working through ingest bottlenecks, and d
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.
Paul Blogs on BI
JANUARY 12, 2018
While it’s fun to make predictions at the beginning of a new year, I must admit that my track record on getting them right has not always been perfect. I tend to lean heavily towards things I want to happen, rather than things that are more likely to happen. In the world of Business Intelligence, predictions by leading experts and vendors have also not always been stellar.
BA Learnings
JANUARY 15, 2018
Groupthink, a term introduced by social psychologist Irving Janis in 1972, occurs when a group makes bad decisions because group pressures lead to a reduction in mental efficiency and moral judgement. These groups ignore alternatives and are usually insulated from outside opinions. Think about these scenarios: You attend a meeting where ideas are bounced around.
IBM Big Data Hub
JANUARY 2, 2018
Whether you want to build a bridge, explore the sea, or simply try to identify new markets, you will only be as good as the data you use. This means it must be complete, in context, trusted and easily accessible to drive insights.
Sanjeev Mohan
JANUARY 15, 2018
I have been working as a research analyst responsible for the Big Data topics for the last year. I plan to regularly post my blogs here. I have been accused of being an insufferable and recovering dataholic since my days at Oracle in the early 1990s. So, my goal is to write about all things data. However, for my first blog, I thought of writing a paean to my admiration for data.
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.
Bruno Aziza
JANUARY 12, 2018
Fundamentally, whether you’re on the internet, making a phone call or sending and receiving messages, your communication should simply go through, free of interference from your service provider.
Cloudera
JANUARY 19, 2018
The New Year is a great time to make resolutions, but it’s also a great time to reflect on the previous year. Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. Today is an important day in the life of Cloudera. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means.
Smarten
JANUARY 30, 2018
Smart Data Visualization Guides Users to Clear Data in the Right View! Imagine if your advanced data discovery tool could take the guesswork out of data preparation and visualization and allow your business users to see past the obvious to find the true insight and subtle patterns, trends and data that will help your business to achieve success. Features like smart data visualization make it easy to see what is happening, where the source of a problem lies and what market opportunities may be ri
BA Learnings
JANUARY 3, 2018
When we have a strong belief about something or a bias towards a particular opinion, we consciously or unconsciously seek out evidence that validates what we already believe. When we come across contrary evidence, our default behaviour is to ignore it, diminish it or in some cases, conclude that it’s wrong prematurely without exploring its merits. This behaviour is due to a cognitive bias known as confirmation bias.
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IBM Big Data Hub
JANUARY 31, 2018
Join us 27 February at 1 PM ET for "Machine Learning Everywhere: Build Your Ladder to AI." Visit the event landing page to learn more about the event and register for a calendar reminder: ibm.com/mleverywhere.
Paris Technologies
JANUARY 22, 2018
You asked and we listened! Version 18 of PowerOLAP® and Olation® comes with enhancements and new features that we know both new and existing users will want to get their hands on. Here’s our top 5 features to get excited about in Version 18. 5. PowerOLAP Portal Version 18 takes the administrative pain out of […].
Bruno Aziza
JANUARY 29, 2018
In a 2018 survey, which was recently released, nearly two-thirds of executives – 63.4% -- now report their firm having a CDO. Clearly, the Chief Data Officer has become an established role within a majority of leading corporations.
Cloudera
JANUARY 8, 2018
As the GDPR clock ticks down to implementation, it is clear that this will not be a non-event like the Millennium Bug – it will happen and there will be dire consequences, potentially company-closures, in the event of non-compliance. The three certainties in life: death, taxes and GDPR. 1999 was a milestone year for the development of technology.
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.
Smarten
JANUARY 15, 2018
Wondering if Augmented Data Discovery is for You? Wonder No More! If you have heard of Augmented Data Discovery (aka Smart Data Discovery), but you don’t quite understand what it is and its value to average business, then we really need to talk! Augmented Data Discovery allows your business to go beyond data monitoring and helps users discover the more subtle yet crucial factors that affect business success.
Nutanix
JANUARY 25, 2018
Of all the blog posts I’ve written since starting Nutanix, this one is particularly special to me because it deals with an organization that’s helped me on my personal and professional journey.
IBM Big Data Hub
JANUARY 26, 2018
Still using spreadsheets for financial planning? Learn more in this webinar how predictive technologies can improve the accuracy of your own planning and forecasting.
Occam's Razor
JANUARY 8, 2018
Like me, I'm sure you are working on complex challenges when it comes to data. Multi-petabyte data warehouses. Multi-touch, cross-channel attribution analysis. Media mix modeling. Predictive analytics. Human-centric analysis. Oh, and let's not forget the application of machine learning to every facet of your work. It is genuinely fun to work on these opportunities.
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Bruno Aziza
JANUARY 23, 2018
Trying to further secure your network is a losing proposition.You need to kick your users off the network. It’s time for IT organizations to start acting like cloud providers, even when it comes to internal applications.
Cloudera
JANUARY 9, 2018
This was an amazing year for our inaugural “Cybersecurity On Call” season. It was truly an honor hosting amazing guests as we explored the world of cybersecurity. From industry thought leaders, to New York Times best sellers, to hackers, I learned a ton about the future of cybersecurity and I hope you did as well. Today’s episode won’t be our usual programming, today is our end of the year special where we will dive into our top five tips from this year’s season.
Smarten
JANUARY 10, 2018
Self-Serve Data Preparation is Easy as Pie! Data preparation tools come in many shapes and sizes and not all are equal. If your business is interested in implementing a self-serve environment where its business users can become a greater asset to the organization, and use data preparation for analytics, you definitely need to consider ease-of-use for your users and flexibility, sophisticated functionality and mobile accessibility for the good of the organization.
Nutanix
JANUARY 19, 2018
The 1-node Nutanix Enterprise Cloud offering was created with one thing in mind: you – our customers. You told us that a Nutanix offering specifically designed for smaller, remote deployments will radically simplify your ability to deliver virtualized applications at your remote sites.
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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