datapine
APRIL 2, 2019
Monitoring the business performance and tracking relevant insights in today’s digital age has empowered managers and c-level executives to obtain an invaluable volume of data that increases productivity and decreases costs. In fact, data has become the raw material that every business decision is based on while reporting tools create the environment to act on generated information swiftly and accurately.
Smart Data Collective
APRIL 2, 2019
Cloud technology has had a profound impact on the web hosting profession. It is driven largely by advances in big data. Since big data has revolutionized the web hosting industry, a myriad of new hosting options are available. How is Big Data Affecting the Future of Big Data? The sudden emergence of big data is changing the nature of web hosting in two significant ways: Companies need more extensive hosting solutions to ensure they have adequate storage.
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Dataiku
APRIL 2, 2019
According to Forbes , as of 2018, only 11 percent of small and medium businesses (SMBs) use AI, and 41 percent feel that it’s too complex for their needs. But AI and machine learning don't need to be complex, and the first wave of SMBs to embrace these technologies will undoubtedly get ahead (in a big way).
Smart Data Collective
APRIL 2, 2019
Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. These massive storage pools of data are among the most non-traditional methods of data storage around and they came about as companies raced to embrace the trend of Big Data Analytics w
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Sisense
APRIL 2, 2019
What is DevOps? Is it technology? Is it a process? No, DevOps is much more than that. DevOps can be considered a concept, a culture, a development, and operational philosophy, and a movement. It’s also shaping the way BI and Analytics are deployed. The DevOps movement started to come together sometime between 2007 and 2008. This is when IT operations and software development communities started to talk about problems in the software industry, specifically around the traditional software developm
Jet Global
APRIL 2, 2019
Artificial Intelligence is coming for the enterprise. Long the domain of science fiction and dystopian movies, computers that are capable of simulating human intelligence are poised to have a transformative impact on the business world over the next decade, and as investment dollars flow in and use cases are proven out, that impact only stands to increase.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Decision Management Solutions
APRIL 2, 2019
Many speakers on predictive analytics, machine learning (ML) and AI talk about the need to allow data science teams to fail. Without failure, without a willingness to fail sometimes, it’s very hard to build a successful data science program. This is true and often a barrier for companies that find it hard to accept that not all analytics initiatives succeed.
TDAN
APRIL 2, 2019
If you are just starting out and feel overwhelmed by all the various definitions, explanations, and interpretations of data governance, don’t be alarmed. Even well-seasoned data governance veterans can struggle with the definition and explanation of what they do day to day. It’s not that we/they (newbies and veterans alike) don’t understand the big picture […].
Andrew White
APRIL 2, 2019
Two articles I spied in the last few days really nailed for me the “war on data”. By “war” I mean to say the onslaught of public policy being mooted that play the efficiencies of the market off against so called benefits of the individual. Even as I write this down I am reminded me of my conversation with my colleague, Saul Judah , just the other week where he reminded me of one of my most re-read and ear-marked books, the Sovereign Individual from 1997.
Jen Stirrup
APRIL 2, 2019
Marketing is viewed as a key strategic participant in achieving the goals of businesses, both large and small. I thought I’d share how we started to apply marketing theory, practice, and insights from data. There are tons of ‘skate on the surface’ marketing soundbite books, which may sound good at the first glance with no depth. But it’s quite a different thing to work at it so you really know it, practice it, and can share it with other people so it is authentic.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Hurwitz & Associates
APRIL 2, 2019
By Jean S. Bozman. Hybrid clouds and multi-clouds, spanning enterprise data centers, private clouds and public clouds, are placing a new set of requirements on customers’ storage systems. Customers must deal with the new realities of cloud migration, protecting older applications and data – while supporting for new generation of cloud-native applications deployed with containers.
Teradata
APRIL 2, 2019
This blog discusses the functions one should consider when choosing a self-service analytics platform.
TDAN
APRIL 2, 2019
Although data modeling has been around for over 30 years, it ranks among the top areas from which database application problems arise. Moreover, the severity of the problems ranges from totally incorrect functionality to freakishly miserable performance. How can such an established technique yield such terrible results? The answer is quite unnerving.
Smarten
APRIL 2, 2019
Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. It is also important to ensure that every team member is a real asset to the organization and can contribute their knowledge and skill with full Insight into the effects and outcome of activities and processes and the ability to correct the course and make recommendations using clear, concise information.
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.
TDAN
APRIL 2, 2019
Enterprises today are focused on ensuring robust data governance, and are exploring different tools and approaches to support their efforts. Some organizations know exactly what they need, while others can be overwhelmed or confused by all the different solutions out there that claim to support data governance. Let’s take “data dictionary” and “business glossary” for […].
Tim Mitchell
APRIL 2, 2019
One of my favorite recent additions to SQL Server is the ability to use temporal tables to retain change history. As I wrote in an earlier post on this topic, temporal tables allow one to easily configure a table keep all of the changes (including updated and deleted rows) in a designated history table. In this post, I will share. The post Using Temporal Tables for Slowly Changing Dimensions appeared first on Tim Mitchell.
TDAN
APRIL 2, 2019
Lean startups aren’t easy to run. They require a massive amount of time, energy, and dedication. Blood, sweat, and tears alone won’t cut it – lean startups must have a plan of action to thrive. What makes a lean startup success story? What makes lean startups fail? There’s no right or wrong way to run […].
Smart Data Collective
APRIL 2, 2019
Machine learning is having a major impact on countless industries across the globe. The energy sector is a prime example. The energy and utilities sector is essential to the global economy. The production and consumption of energy resources is imperative for powering nations and business sectors, including transportation and manufacturing. According to an analysis by CB Insights, machine learning and AI are having a large impact on this industry in many ways.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
TDAN
APRIL 2, 2019
Bureaucracy was known to be the plague of the USSR, but has recently become a heavy burden for private companies. New regulations such as Sarbanes-Oxley, Dodd-Frank, and GDPR, spanning all functions from HR to accounting to product labelling to vendor certifications, are constantly put in place by various states where companies operate. These rules have […].
Cloudera
APRIL 2, 2019
Cloudera and Intel have a long history of innovation, driving big data analytics and machine learning into the enterprise with unparalleled performance and security. We are pleased to build upon that direction with our collaboration on Intel® Optane DC persistent memory. Available to customers running 2nd Generation Intel® Xeon® Scalable processors, Intel Optane DC persistent memory can significantly enhance the performance of real-time and streaming applications.
TDAN
APRIL 2, 2019
The Data Management Body of Knowledge (DMBOK2) is the most comprehensive and objective book on data management. Comparable to what the PMBOK does for project management and the BABOK for business analysis, DMBOK2 provides a detailed framework for organizations to manage their data and mature their information infrastructure. It is used to assess and improve […].
O'Reilly on Data
APRIL 2, 2019
Why companies are turning to specialized machine learning tools like MLflow. A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects. Along the way, we described a new job role and title—machine learning engineer —focused on creating data products and making data science work in production, a role that was beginning to emerge in the San Francisco Bay Area two
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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