November, 2017

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The Business Analyst's Guide To Encouraging Critical Thinking

BA Learnings

If you’re a manager in charge of a business analyst team or are a part of any team in charge of achieving key business objectives, this article discusses useful insights on how you can trigger and sustain critical thinking in the team. Imagine you’re in a meeting. You present a business analysis plan and ask your team members to share their thoughts.

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Big Data: Examples, Sources and Technologies explained

ScienceSoft

While defining big data, we share multi-industry examples of its practical application, list its internal and external sources, as well as name most popular big data technologies.

Big Data 101
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Predictions 2018: The Blockchain Revolution Will Have To Wait A Little Longer

Martha Bennett

The visionaries will forge ahead, those hoping for immediate industry and process transformation will give up. This is the answer I usually give when asked for a one-sentence summary of how I see 2018 shaping up in the blockchain technology arena. Following blockchain technology feels a little like living in two parallel universes: One is […].

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5 tips for machine learning success outside of Silicon Valley

IBM Big Data Hub

Machine learning concerns in Silicon Valley tend to be different from those elsewhere in the U.S. — and outside of the U.S. So, here are five tips for those hearing about machine learning efforts in Silicon Valley, but who work elsewhere. These suggestions consider where machine learning and data science are headed on a large scale — as opposed to the fascinating (but often narrow) research happening in Silicon Valley.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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.

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Predictions 2018: AI Hard Fact – Treat It Like A Plug-And-Play Panacea and Fail

Boris Evelson

Look right, look left, you’ll see a fellow CIO contemplating their AI move. Failing to act is not an option in most organizations. However, as enterprises are kicking off their AI pilots or seeing early results, the honeymoon is over as enterprises that naively celebrated the cure-all promises of artificial intelligence (AI) technologies is over. Enterprises needed better data foundations.

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How Verizon Is Building A Big Data And AI Culture

Bruno Aziza

VEDA — Verizon Enterprise Data Analytics—is an enterprise organization that addresses data management, data governance, data warehousing and data lakes and common analytical and AI technologies.

More Trending

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“Machine Washing” is a symptom of AI snobbery

DataRobot Blog

After attending this year’s HR Tech World in Amsterdam, journalist Phil Wainwright made an interesting observation about a trend amongst product companies. He explained that they’re layering in a superficial layer of artificial intelligence (AI) — e.g., an Alexa skill — into their products just to be able to claim that their product uses AI. He calls this trend “Machine Washing.”.

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Navigating the changing technical landscape in banking and finance

Paris Technologies

It can be said that the banking industry is going through a phase of radical modernization and technological change, transforming how finance delivers value to their customers. Technology is simultaneously disrupting and enabling banking and finance at the same time. The barrage of fintech startups entering the industry is posing both a threat and an […].

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Data Science for All: What is it? Why care? How do I get it?

IBM Big Data Hub

Organizations everywhere, from massive governments to the smallest start-ups, are in a race for the best-possible data expertise and tools. To help your team understand the data science journey, IBM created the Data Science for All webcast.

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Everything you wanted to know about SAP Leonardo but were afraid to ask

Boris Evelson

Large enterprise software vendors seem to be enamoured with using the names of historical figures or literary characters as brand names. Unfortunately, this is really confusing for the buyers, since the vendors apply these branding names differently. For example (in an increasing order of branding approach complexity): OpenText Magellan is a collection of business intelligence […].

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

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.

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He Who Rules The Data, Rules The World: A Brief History Of Data Governance

Bruno Aziza

Data rules the world, but who rules the data? The companies that collect it? The servers that store it? The cables and satellites that transmit it? Or the laws that keep it flowing into the right hands—and away from the wrong ones? Welcome to the world of data governance.

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Smart Data Discovery: A Treasure Map to Success

Smarten

Smart Data Discovery Will Guide Your Users Through Advanced Analytics! Your enterprise and business users do not have the time or the inclination to sift through complex data or wade through instructions to learn how to use complicated business intelligence or advanced analytics tools. They don’t want to document requirements and wait for IT or analysts to produce a report (only to find out that the data is incomplete or that the data was delivered too late to make a confident decision).

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Researchers — Share Your Data!

Perceptual Edge

One of the most popular shows in the early years of television was hosted by Art Linkletter, which included a segment called “Kids say the darndest things.” Linkletter would have conversations with young children who could be counted on to say things that adults found entertaining. I’ve experienced my own version of this in recent years that could be described as “Researchers say the darndest things.

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Growth and Change for Telecom Companies Isn’t Slowing Down

TIBCO

Just a few short years, ago phone booths were scattered around the cities. We were accustomed to keeping spare change simply for the sake of placing a call. Then, suddenly everything changed. The introduction of prepaid phone cards took over and the need for coins slowly diminished but still, the pay phones remained with the same simple functionality—talking.

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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 mainframe isn't going anywhere soon — except maybe to Mars

IBM Big Data Hub

Long before humans go to the moon or Mars, we'll need to send unmanned missions to establish the early infrastructure. Don Haderle, a scholar of the mainframe, recently suggested that mainframe computer systems will become the obvious solution for the moon, Mars, and beyond. Learn why.

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Customer data analytics explained to managers

ScienceSoft

Customer data analytics explained in business questions and answers. An overview of its key features, as well as raw data and technologies required.

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Cindy Crawford, Big Data, AI, Robotics and Innovation

Bruno Aziza

Three days of thought-provoking discussion and stimulating ideas about the impacts of Big Data, AI, Robotics and Innovation.

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New Kid on the Block: Information Builders Joins the Hyperledger Consortium

Information Builders

Information Builders recently joined the Hyperledger Consortium, an open source collaborative effort formed to advance cross-industry blockchain technologies. That’s a mouthful so let me unpack it for you. read more.

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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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Building a Big Data Culture

Cloudera

In an earlier VISION post, The Five Markers on Your Big Data Journey , Amy O’Connor shared some common traits of many of the most successful data-driven companies. In this blog, I’d like to explore what I believe is the most important of those traits, building and fostering a culture of data. . The most important elements to establishing a data-driven culture are having a strong executive sponsor and consistent communication.

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What is Advanced Analytics and How Can it Advance Your Organization?

Smarten

The term ‘Advanced Analytics’ can seem daunting to the average business user and even to the average business enterprise but the process is not as complex as it may seem. What is Advanced Analytics? Advanced Analytics is comprised of numerous sophisticated analytical techniques, designed to parse, explore and analyze data and produce results to support business decisions.

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Oversight, insight and execution: Is your data governance strategy working?

IBM Big Data Hub

Allocating IT budget is a tricky business. Companies need to make choices and manage investment tradeoffs. However, recent Aberdeen research suggests that foundational activities to protect, oversee and manage the data environment through a unified approach to data governance can produce enticing results.

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Predictions 2018: The Blockchain Revolution Will Have To Wait A Little Longer

Martha Bennett

The visionaries will forge ahead, those hoping for immediate industry and process transformation will give up. This is the answer I usually give when asked for a one-sentence summary of how I see 2018 shaping up in the blockchain technology arena. Following blockchain technology feels a little like living in two parallel universes: One is […].

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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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Abandoning the perimeter mindset

Bruno Aziza

In order for CIOs and CISOs to protect their cloud enabled enterprise, they must develop a new way of thinking about security – one that exists outside the perimeter mindset.

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Why I Joined Information Builders - #WeAreIB

Information Builders

If you’ve checked out our “Why I Came Back to Information Builders” blog series, or seen our recent Best Places to Work award win, you already know we have a group of passionate employees who love what they do and the company they do it for. read more.

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Cybersecurity On Call: Information War with Bill Gertz

Cloudera

What’s more terrifying, knowing that you just lost your identity or unknowingly being manipulated? While they both seem awful, they are the reality of the digital world that we live in, just look at the news. With countless articles discussing the recent Equifax hack where thousands of social security numbers were compromised to organizations like Facebook, Google, and Twitter coming forward with Russian accounts that were buying ads to influence US elections.

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Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users

Smarten

The world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users. The tools exist today for augmented analytics, augmented data discovery, self-serve data preparation and other features and modules that provide sophisticated functionality and algorithms in an easy-to-use dashboard and environment that is designed to support business

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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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Providing transactional data to your Hadoop and Kafka data lake

IBM Big Data Hub

The data lake may be all about Apache Hadoop, but integrating operational data can be a challenge. Learn how to deliver real-time feeds of transactional data from mainframes and distributed environments directly into Hadoop clusters and make constantly changing data more available.

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The Complete Package: Nutanix AHV certified on Klas Telecom’s Voyager Tactical Data Center

Nutanix

Earlier this year, we joined forces with Klas Telecom to bring Nutanix Enterprise Cloud to the edge with the Voyager Tactical Data Center (TDC) – a rugged, enterprise-grade compute and data storage solution that fits in an airline carry-on compliant rollaway case.

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Augmented Reality Making Impactful Change

Bruno Aziza

AR is the driving force towards the next generation of mobile computing- smartglasses.

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Compliant data freedom: Oxymoron or opportunity?

IBM Big Data Hub

Many large organizations still have a large amounts of data on-premise, but also need data from a public cloud. Regardless of where the data resides, organizations can build a trusted data source from which they can drive key business insights and derive significant sustained advantages. Here's how.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

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.