David Menninger's Analyst Perspectives
MARCH 1, 2019
I am happy to offer some insights on SAP drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.
O'Reilly on Data
FEBRUARY 28, 2019
The O’Reilly Data Show Podcast: P.W. Singer on how social media has changed, war, politics, and business. In this episode of the Data Show , I spoke with P.W. Singer , strategist and senior fellow at the New America Foundation, and a contributing editor at Popular Science. He is co-author of an excellent new book, LikeWar: The Weaponization of Social Media , which explores how social media has changed war, politics, and business.
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erwin
FEBRUARY 28, 2019
Smart cities are changing the world. When you think of real-time, data-driven experiences and modern applications to accomplish tasks faster and easier, your local town or city government probably doesn’t come to mind. But municipal government is starting to embrace digital transformation and therefore data governance. Municipal government has never been an area in which to look for tech innovation.
BA Learnings
FEBRUARY 23, 2019
Business Analysts are often required to write business cases to justify whether or not a concept/product is viable. Business cases can be of varying lengths and structure. Taking on such a task can seem intimidating, but it doesn’t have to be. Here are four basic but easily forgotten tips that will make the process easier, and result in a winning business case. 1.
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Bruno Aziza
FEBRUARY 24, 2019
We started this decade delighted about sharing data and insights. We're ending it realizing that, without strong governance, self-service can be a nightmare.
Data Science 101
FEBRUARY 28, 2019
Data Journalism Handbook 2 – Online beta access to the first 21 chapters Select Star SQL – A book that is also a walk-through interactive tutorial for learning SQL Dive Into Deep Learning – A very detailed and up-to-date book on Deep Learning; used at Berkeley. It also includes Jupyter notebooks. R for Data Science – Just like the title says, learn to use R for data science.
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
FEBRUARY 28, 2019
IBM recently released IBM InfoSphere Virtual Data Pipeline (VDP) to help clients innovate at the speed of customer demands.
DataRobot
FEBRUARY 26, 2019
DataRobot , the leader in automated machine learning, is proud to announce its acquisition of Cursor , a San Francisco-based company that provides a data collaboration platform which helps organizations find, understand and use data more efficiently.
Bruno Aziza
FEBRUARY 27, 2019
Universities are taking action to meet the rising demand for tech talent.
Insight
FEBRUARY 27, 2019
Image used with permission from [link] Want to learn applied Artificial Intelligence from top professionals in New York, Silicon Valley, or Toronto? Learn more about the Artificial Intelligence program at Insight. Are you a company working in AI and would like to get involved in the Insight AI Fellows Program? Feel free to get in touch. New York is in the midst of an explosive period of growth in artificial intelligence and machine learning.
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
MARCH 1, 2019
IBM Think 2019 brought a huge week of news for data professionals. IBM executives took to the stage and announced a wide range of new developments in the world of data and AI.
Dataiku
MARCH 1, 2019
Let’s face it - almost no business today can afford to hire the amount of data scientists it would take to go from producing one machine learning model to 1,000 (or for that matter, 1 million) every year. The good news is that organizations don’t need to hire scores of data scientists in order to be productive.
DataRobot
FEBRUARY 28, 2019
A recently published research paper from Columbia University described a common dilemma in machine learning. Back in the mid-1990s, one cost-effective healthcare initiative investigated the application of machine learning to predict the probability of death for patients with pneumonia so that high-risk patients could be admitted to the hospital while low-risk patients were treated as outpatients.
Cloudera
FEBRUARY 28, 2019
We’ve just published our most recent customer success story ! This story gives a look at how HelloFresh is becoming a more data centric organization to better serve its customers. HelloFresh is the leading global provider of fresh ingredients and recipes that help families enjoy wholesome home-cooked meals with no planning or shopping. The company packages over 10 million meals a month for more than one and a half million customers worldwide.
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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.
IBM Big Data Hub
FEBRUARY 28, 2019
Today, we’re pleased to announce the availability of IBM Streams as a premium add-on to IBM Cloud Private for Data, delivering on the promise of joining data with AI together in real-time.
BizAcuity
MARCH 1, 2019
There is a coherent overlap between the Internet of Things and Artificial Intelligence. IoT is basically an exchange of data or information in a connected or interconnected environment. AI is about simulating intelligent behavior in machines that carry out tasks ‘smartly’. AI tries to imitate natural human intelligence or the cognitive functions that humans perform using their mind such as learning and problem-solving.
Mark Raskino
FEBRUARY 25, 2019
Might the term “IT” become lost in the sands of time? Nearly one fifth of the 21st century is behind us already – gosh time flies. Generation Z, those who were born in the 2000s, are now entering the workforce as adults. I wonder what the term “IT” means to them? If they learn by listening to office conversation, they would be forgiven for thinking it’s something companies used to do but is now becoming redundant – like slide rules or typing pools.
Andrew White
MARCH 1, 2019
Two topics collided for me this week: a new joint French and German industrial policy that highlights the importance of AI and a change in national positioning with respect to trade with China. The source was an article, Germany’s fear of China , in this week’s US print edition of the Economist. The main topic, as captured by the article title, highlights a fascinating change in thinking.
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Dataiku
FEBRUARY 24, 2019
Every business has a different path to Enterprise AI that’s necessarily affected by its industry, history, infrastructure, competitive environment, clientele, and more. That means that from region to region, trends and maturity in Enterprise AI differ.
The Data Visualisation Catalogue
FEBRUARY 27, 2019
Continuing on at looking into the claims being made about virtual reality (VR) data visualization, we will now look at the second most commonly made claim: VR data visualization is great for multidimensional data analysis; VR allows you to view the data in ‘multiple dimensions’. From taking a guess, we can assume that this relates to VR’s ability to display data in 3D.
Paul Turley
FEBRUARY 28, 2019
Last night I was scheduled to present this topic at the Power BI User Group in Portland except the meeting was cancelled because of a snowstorm; except the snowstorm didn’t happen… not even a little.
CDW Research Hub
MARCH 1, 2019
Links to last month’s most popular posts: 5 Reasons You Can’t Wait to Modernize Your Infrastructure. Sirius Wins 2018 Overall Contributor Award From Check Point. What Do Data Privacy Laws Mean for Your Security Strategy. [New Sirius Report] Healthcare Cybersecurity Survey 2018. Case Study: Honolulu Launches Enterprise Application to Boost Efficiency. 5 Challenges Associated with Future-Proofing Your Enterprise Network.
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bridgei2i
MARCH 1, 2019
THE FUTURE. Now imagine a future, where the hitherto untapped potential of tribal knowledge captured at scale using the power of conversational AI is combined with the already proven and in use AI solutions like deal classification, deal risk computation, lead scoring and others to produce highly contextualize deal intelligence, competitive intelligence and actionable recommendations derived from the learnings of past tribal knowledge.
Decision Management Solutions
FEBRUARY 27, 2019
Matt Josefowticz wrote a great piece recently – Technology May be the Answer for Insurers, but What Was the Question? In this he argues that there are only three levers of value in insurance: 1. Sell More. 2. Manage Risk Better (aka underwriting and adjusting). 3. Cost Less to Operate. And that while some of these will require an investment in technology, that investment should be framed in terms of those business drivers.
Data Virtualization
FEBRUARY 27, 2019
2019 is the year of the data-driven organization. The more data an organization collects, the more insights they will have, right? Well no actually, it’s more about how you glean the insights from the data rather than how much data. The post Data Virtualization: A Unified Platform for Insights appeared first on Data Virtualization and Modern Data Management.
Hurwitz & Associates
FEBRUARY 26, 2019
Will multicloud and software anywhere be the differentiator that IBM needs? After having been IBM watchers for many years, we are in a unique position to assess what is happening and what has changed. What made the IBM Think conference interesting was not a huge number of brand new products; rather it was the focus on consistency of software across platforms.
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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.
Teradata
FEBRUARY 26, 2019
Brian Wood discusses the intricacies of managing analytic workloads in the cloud.
Decision Management Solutions
FEBRUARY 25, 2019
To keep processing costs low, many insurance carriers have a goal to increase the percentage of their claims that can be processed and decisioned with no human decision-making involved. This is called increasing the rate of straight-through processing (STP). Perhaps surprisingly, there remains a fair amount of human intervention involved in processing insurance claims.
CDW Research Hub
FEBRUARY 25, 2019
What era of servers is your business running on? Can your outdated infrastructure compete in the age of digital transformation, where unprecedented data growth is driving the business economy? Or are you continuing to invest in a platform that was built ten years ago, or even more? Decade-old servers can’t keep pace with the mechanisms propelling today’s business outcomes, like big data, virtualization, cloud, the Internet of Things (IoT) and AI.
Hurwitz & Associates
FEBRUARY 26, 2019
Will multicloud and software anywhere be the differentiator that IBM needs? After having been IBM watchers for many years, we are in a unique position to assess what is happening and what has changed. What made the IBM Think conference interesting was not a huge number of brand new products; rather it was the focus on consistency of software across platforms.
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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?
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