datapine

JANUARY 7, 2020

Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway. – Geoffrey Moore, Author of Crossing the Chasm & Inside the Tornado. In the digital age, brands, businesses, and organizations have a wealth of information at their fingertips: a level of insight that if leveraged correctly, not only has the power to offer a real competitive edge but provides the potential to innovate, inspire and create a well-oiled commercial machine that continues

Dashboards 149

Dashboards Reporting KPI Metrics 149

KDnuggets

JANUARY 7, 2020

Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.

Modeling 159

Modeling IT 159

Sisense

JANUARY 7, 2020

Blog. SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. Creating order. The SQL order of execution defines the order in which the clauses of a query are evaluated. Some of the most common query challenges I run into could be easily avoided with a clearer understanding of the SQL order of execution, sometimes called the order of operations.

Optimization 104

Optimization IT 104

KDnuggets

JANUARY 7, 2020

An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.

Big Data 159

Big Data Data Science 159

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.

Experimentation

DataCamp

JANUARY 7, 2020

Here’s how to determine when to use the two most popular languages for data science: Python and R.

Data Science 122

Data Science 122

Data Science 101

JANUARY 7, 2020

Are you an organization new to data science? Trying to implement the latest methods in Artificial Intelligence might not be the best way to start. It is better to start with a plan. Identify where you are and where you want to be. I call this a data strategy. I just released a free Data Strategy Email Course. Hopefully, this will help get your organization off to a smoother start with data science and artificial intelligence.

Data Strategy 83

Data Strategy Strategy Data Science IT 83

Timo Elliott

JANUARY 7, 2020

At the recent European Big Data Value Forum , I did a presentation on “The power of artificial intelligence vs the power of humanE intelligence” — here’s a video of the presentation: And the slides can be found here: The power of artificial intelligence vs the power of human intelligence from Timo Elliott.

Big Data 60

Big Data 60

KDnuggets

JANUARY 7, 2020

There is a need for a new way to explain complex, ensembled ML models for high-stakes applications such as credit and lending. This is why we invented GIG.

Machine Learning 74

Machine Learning Modeling 74

Andrew White

JANUARY 7, 2020

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Ehtisham Zaidi continues at “number 1” for a second week in a row with his note targeting the data fabric. This will give you some inkling into new content for the data management thread at our upcoming data and analytics conference season (around the world).

Analytics 59

Analytics Interactive Management 59

KDnuggets

JANUARY 7, 2020

Here are our top five hands-on training focus areas that every data scientist should know and that we’re paying extra attention to at ODSC East 2020 this April 13-17 in Boston.

Data Science 50

Data Science 50

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.

Management

Nutanix

JANUARY 7, 2020

We published a blog and created a short survey on what is driving where applications and IT services live and run. Now the findings are here!

Publishing 20

Publishing IT 20

Dataiku

JANUARY 7, 2020

The risks of the use of AI have long remained limited, as until recently, AI was confined to academics or research and development. But over the last few years, the rise of this technology and its practical applications in business as well as in the daily lives of citizens means a much more real - and much bigger - impact. It’s no wonder, then, that questions of AI ethics have come up.

Risk 11

Risk Technology IT 11

Nutanix

JANUARY 7, 2020

We published a blog and created a short survey on what is driving where applications and IT services live and run. Now the findings are here!

Publishing 20

Publishing IT 20

Sisense

JANUARY 7, 2020

Blog. SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. One problem, many solutions. For today’s daily report, we need a list of users and the most recent widget each user has created. We have a users table and a widgets table, and each user has many widgets. users.id is the primary key on users, and widgets. user_id is the corresponding foreign k

Reporting 101

Reporting IT 101

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.

Testing

Nutanix

JANUARY 7, 2020

We published a blog and created a short survey on what is driving where applications and IT services live and run. Now the findings are here!

Publishing 20

Publishing IT 20

Sisense

JANUARY 7, 2020

Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. A vision for builders. Nearly eight years ago, I joined my friend and Periscope Data co-founder Tom O’Neill (now Sisense Chief Cloud Officer) on a journey to build an advanced analytics platform that empowered data teams to build amazing new things.

Experimentation 93

Experimentation Optimization Data Analytics Marketing 93

Smarten

JANUARY 7, 2020

Business Intelligence isn’t new but the way we gather, analyze and digest this intelligence is definitely changing. In the past, business intelligence was delivered to senior executives by IT and/or business analysts. The combination of a fast-paced business environment and a limited budget and limited resource reality means that most organizations must optimize resources and time to produce results.

IT 52

IT Business Intelligence ROI Reporting 52

Sisense

JANUARY 7, 2020

Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Uniting to empower data analytic teams. Last May, we made a decision to join forces with Periscope Data to build a true end-to-end analytics platform. Our vision was a single data platform that combined features custom-built for data, product, and BI teams for every step in the analysis process.

Dashboards 93

Dashboards Big Data Interactive Data Analytics 93

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk

O'Reilly on Data

JANUARY 7, 2020

We see the AI space poised for an acceleration in adoption, driven by more sophisticated AI models being put in production, specialized hardware that increases AI’s capacity to provide quicker results based on larger datasets, simplified tools that democratize access to the entire AI stack, small tools that enables AI on nearly any device, and cloud access to AI tools that allow access to AI resources from anywhere.

Deep Learning 178

Deep Learning Machine Learning Experimentation Modeling 178