Rocket-Powered Data Science
JULY 30, 2018
Machine Learning is (or should be) a core component of any marketing program now, especially in digital marketing campaigns. The following insightful quote by Dan Olley (EVP of Product Development and CTO at Elsevier) sums up the urgency and criticality of the situation: “If CIOs invested in machine learning three years ago, they would have wasted their money.
Occam's Razor
JULY 24, 2018
The universe of digital analytics is massive and can seem as complex as the cosmic universe. With such big, complicated subjects, we can get lost in the vast wilderness or become trapped in a silo. We can wander aimlessly, or feel a false sense of either accomplishment or frustration. Consequently, we lose sight of where we are, how we are doing and which direction is true north.
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Juice Analytics
JULY 6, 2018
Putting data on a screen is easy. Making it meaningful is so much harder. Gathering a collection of visualizations and calling it a data story is easy (and inaccurate). Making data-driven narrative that influences people.hard. Here are 25 more lessons we've learned (the hard way) about what's easy and what's hard when it comes to telling data stories: Easy: Picking a good visualization to answer a data question Hard: Discovering the core message of your data story that will move your audience to
The Unofficial Google Data Science Blog
JULY 17, 2018
by BILL RICHOUX Critical decisions are being made continuously within large software systems. Often such decisions are the responsibility of a separate machine learning (ML) system. But there are instances when having a separate ML system is not ideal. In this blog post we describe one of these instances — Google search deciding when to check if web pages have changed.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
JULY 9, 2018
How can we always be sure the stories we’re reading are accurate? Is there an agenda to distort facts to change opinions? Does a story assert falsehoods, misquote its subjects or rely on hyperbole? In short: is the news we’re consuming the truth? Or is it “fake news?” Meet Mike Tamir, an analytics hero who uses data science to take fake news head-on.
Data Science and Beyond
JULY 22, 2018
I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. Unfortunately, that definition became somewhat irrelevant as more and more people jumped on the data science bandwagon – possibly to the point of making data scientist useless as a job title.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Bruno Aziza
JULY 10, 2018
FinTech startups are driving innovation in financial services at a time of disruption and fear of displacement. This article explores the current state of FinTech as a foundation for financial services innovation and transformation.
Juice Analytics
JULY 30, 2018
The Data Storytelling Revolution is coming to the K-12 Education world -- in its own unique way. Two days at the annual National Center for Education Statistics STATS DC Data Conference in Washington DC gave me an up-close view of how education leaders were using data to drive policy and understanding school performance. This insiders view was thanks to an invitation by our partners at the Public Consulting Group , one of the leading education consulting practices in the country.
CIO Business Intelligence
JULY 30, 2018
If you trust the headlines, 2018 is either the year of blockchain , the year of AI , or the year of augmented reality. The Internet of Things (IoT) doesn’t get the same buzz it did a few years ago, but investment in IoT is still strong. For many enterprises, however, IoT still has the potential to be the most transformative emerging technology.
Boris Evelson
JULY 24, 2018
Qlik, a Leader in our recent Forrester Wave™ evaluation on business intelligence (BI), has acquired Podium Data, a Contender in our big data fabric Wave. In a humble opinion of yours truly, this is further proof of a trend showing that BI buyers are increasingly seeking end-to-end platforms and solutions, rather than separate BI/ETL components that need […].
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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
JULY 18, 2018
The practice of medicine is not only a science, it is also an art. With it, difficult situations will arise requiring insightful judgments made by well-trained physicians who can tailor their approach to the needs of patients. As such, we are witnessing a revolution in the healthcare industry, in which there is now an opportunity to employ a new model of improved, personalized, evidence and data-driven clinical care.
IBM Big Data Hub
JULY 25, 2018
Data science and machine learning provide the basis for business growth, cost and risk reduction and even new business model creation -- but implementing predictive analytics does present some challenges. IT Central Station members have shared tips that help organizations overcome the challenges in effective data preparation, model development and training.
Bruno Aziza
JULY 9, 2018
There is no doubt that “Cloud Transition” is one of the most disruptive trends of our modern times: 77% of enterprises are going to the cloud. And 59% are already there. Question is: what’s the best way to get there and succeed?
Jedox
JULY 17, 2018
The digital transformation is redefining the world as we know it at a pace faster than most people could ever imagine. But it is more than just massive computing power, artificial intelligence with sophisticated algorithms, and tons of data that are propelling this megatrend forward. It is the people who are using and embracing these new technologies – simply because it makes their lives easier, safer, and more enjoyable.
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DataRobot Blog
JULY 23, 2018
by Jen Underwood. Grab the popcorn and a cool beverage. Shark Week (#SharkWeek) is upon us once again. Truth be told – I look forward to it. Shark Week is an annual, week-long TV programming. Read More.
Boris Evelson
JULY 26, 2018
I recently answered a client question regarding an application that could be based on either business intelligence (BI) or text analytics technology. Question: “We receive quarterly and yearly account statements for our investments. Each statement will contain key pieces of information, such as total contributions, expenses, interest income, etc.
Paul Blogs on BI
JULY 9, 2018
So I am at the British Airways Executive lounge at London Heathrow waiting for my flight and watching England play Sweden in the World Cup quarter finals. England are leading 1-0 going into the second half and then Dele Alli scores a second goal for England. I jump out of my seat and yell out “Yes, Dele Alli”. Everyone turns round to look at me as if I was from another planet.
IBM Big Data Hub
JULY 17, 2018
“Content management” — at least as traditionally defined — is no longer the straw that stirs the process drink. It’s a key element, yes. It’s an important set of tools in the enterprise toolkit, yes. But it is not the only game in process town.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Bruno Aziza
JULY 20, 2018
Overlooking the differences between compliance and security could be perilous for enterprises. In this article, Zscaler Chief Evangelist Larry Biagini discusses compliance vs. security in relation to the European Union's GDPR, and how not confuse one for the other.
Jedox
JULY 31, 2018
Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. We also took a first look at how fp&a and business intelligence professionals can start to derive tangible value from these technologies for Enterprise Performance Management.
CIO Business Intelligence
JULY 2, 2018
Swimming in data Image by Getty Images There is golden knowledge in the sea of data that businesses are swimming in. Being able to fish out the business intelligence you need—when you need it—is the key to steering your ship.
Cloudera
JULY 9, 2018
The New Iron Triangle. It is cliché to discuss IT/business solutions as people, process, and technology. Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Since the 1960s, technology has disrupted business through the advent of computing and information management. These systems replaced highly manual operations such as record keeping, finance, and reporting.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Paul Turley
JULY 27, 2018
The message from the Microsoft Business Applications Summit this week was very clear: Power BI is growing up. We have known for a while that Power BI is a great front-end tool for enterprise-scale tabular and multidimensional models.
IBM Big Data Hub
JULY 5, 2018
Natural disasters seem inescapable, leaving us feeling vulnerable in the hands of nature. How is this possible, given all the data and technology that surrounds us today? Can’t experts get better at prediction, and even try to stave off more natural calamities or more effectively reduce the loss of resources?
DataRobot Blog
JULY 31, 2018
by Jen Underwood. Machine learning is a type of artificial intelligence (AI) that enables computers to learn without being explicitly programmed. Algorithms identify patterns. Read More.
Smarten
JULY 30, 2018
How Can Predictive Analysis Tools Help My Hospital or Healthcare Organization? Hospitals and healthcare systems are turning to predictive analytics tools to plan and forecast and understand what, when and how to support patients. Some hospitals use predictive analysis software to gather data and analysis the incidence of readmissions for patients presenting with critical health issues.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
Paul Blogs on BI
JULY 30, 2018
On a recent trip to Egypt, I was amazed at the number of older vehicles I saw on the road dating back to the 1960’s and even older. These are not the beautifully conserved collectors’ items that you see here in the US but are mostly pretty beaten up with body parts often missing. Yet the incredible thing is they are still running and providing both value and productivity to their very demanding owners.
CIO Business Intelligence
JULY 23, 2018
The past few weeks the FIFA World Cup soccer has been a huge topic of conversation within our offices, conversations made all the more lively based on the fact that our colleagues work in offices all over the world, many of them in countries that were well represented by teams during the tournament. So after having flags up throughout the office and various viewing parties, it struck me that there are some service management lessons we can learn from all of this hoopla.
Paul Turley
JULY 15, 2018
[ Related posts in this series: SQL, M or DAX: When Does it Matter? SQL, M or Dax? – part 2 SQL or M? – SSAS Partitions Using SQL Server Table-Valued Functions (UDFs) SQL or M?
IBM Big Data Hub
JULY 2, 2018
So what happens now when we go beyond the frontiers of the data warehouse and into the world of the data lake? – the world of Hadoop, of NoSQL, the world of schema on read, of discovering the data as is? For many organizations, the holy grail is to reap the benefits of the data lake while retaining a degree of control and governance. While it is desirable to have the broadest possible range of diverse data, the data on which the business runs must have the appropriate levels of provenance and li
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