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.
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.
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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.
Cloudera
AUGUST 2, 2018
How do you know when your Data Warehousing solution is working well? Surprisingly, when you fail to notice it. Here are some interesting observations that are often taken for granted: Credit card transactions are handled safely. True – millions of credit card transactions are processed within minutes for consistency, fraud and compliance, using petabytes of historical transactions as reference data.
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.
Rocket-Powered Data Science
JULY 30, 2018
Below are the individual links to these Data Science, Artificial Intelligence and Machine Learning books, all of which are top sellers on Amazon… “The Book of Why: The New Science of Cause and Effect” “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems” “Deep Learning (Adaptive Computation and Machine Learning)” “Applied Artificial Intelligence: A Handbook For Business Leaders
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Cloudera
AUGUST 3, 2018
Cloudera’s diverse and expansive partner ecosystem includes major tech companies constantly redefining the industry, consultancies guiding some of the most comprehensive digital transformations, fast-emerging ISVs challenging status-quo, and cloud companies providing unparalleled flexibility and scalability. Individually, these companies deliver great value to customers, so imagine the business outcomes and customer benefits made possible when two or more of these companies develop a joint offer
Rocket-Powered Data Science
AUGUST 1, 2018
In the early days of the big data era (at the peak of the big data hype), we would often hear about the 3 V’s of big data (Volume, Variety, and Velocity). Then, people started adding more V’s, including Veracity and Value , plus many more! I was guilty of adding several more in my article “ Top 10 Big Data Challenges – A Serious Look at 10 Big Data V’s “ Through the years, I have decided on the following “4 V’s of Big Data” summary in my own presentation
IBM Big Data Hub
AUGUST 1, 2018
Sales compensation programs are incredibly effective for aligning salespeople with company objectives. An organization can sink or swim by whether salespeople know the most forward-thinking and effective sales performance management (SPM) solutions.
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: 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
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.
Nutanix
AUGUST 2, 2018
Earlier today, we announced the intent to acquire Fra.me and, following the closing of the acquisition, make available Desktops-as-a-Service (DaaS) within Xi Cloud Services. The service will initially support 1-click desktop instances on AWS and Azure, and continually expand to all types of cloud environments.
IBM Big Data Hub
AUGUST 2, 2018
IBM and Hortonworks recently announced IBM Hosted Analytics with Hortonworks (IHAH),marking further progress in the pair’s year-long strategic relationship.
Smarten
AUGUST 1, 2018
Is Smart Data Visualization and Visual Analytics Right for My Business Users? Smart Data Visualization is a crucial component of augmented data discovery. This critical feature enables sophisticated analysis with guided visualization tools that auto-recommend displays and data views based on data type, volume, dimensions, patterns and nature of 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.
Nutanix
AUGUST 1, 2018
Businesses of varying sizes — from startups to enterprises — are adopting multi-cloud strategies to foster greater agility and innovation velocity. We’ve been tracking public cloud usage of over $1 billion on an annual basis among our customers, and we’ve discovered several cloud adoption and use patterns.
Nutanix
AUGUST 1, 2018
As we come to a FY18 financial year close, I wanted to share an update with you regarding our President, Sudheesh Nair. Many of you might remember that nine months ago, he handed over the reins of the Sales organization to Lou Attanasio, our Chief Revenue Officer.
Nutanix
JULY 30, 2018
As the datacenter, cloud, and IT overall transform for the future, it’s natural to see fluctuations in how people view these technologies. Plus, emerging trends in IT mean some tools and services will rise in popularity while others lose steam.
Smarten
AUGUST 3, 2018
Can Advanced Data Discovery Help Your Business Achieve Data Democratization? Terms like Advanced Data Discovery and Augmented Analytics can seem mysterious and daunting for the average organization. Managers, executives and IT staff may believe that business users cannot and will not adopt advanced analytics tools because these tools can only be used by data scientists, programmers or business analysts.
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