O'Reilly on Data

FEBRUARY 4, 2019

How companies in Europe are preparing for and adopting AI and ML technologies. In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of da

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

David Menninger's Analyst Perspectives

FEBRUARY 4, 2019

I am happy to share some insights gleaned 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.

Business Intelligence 207

Business Intelligence Analytics ROI Software 207

IBM Big Data Hub

FEBRUARY 4, 2019

Join Dion Hinchcliffe as he stars in his first comic book, leading the charge to uncover the keys to a trusted, business-ready analytics foundation to know, trust, and use your data.

Digital Transformation 84

Digital Transformation Analytics 84

Business Over Broadway

FEBRUARY 4, 2019

A recent survey revealed that 69% of data pros have used at least one cloud computing product in the last 5 years while 62% of data pros have used at least one cloud computing service in the last 5 years. The most popular cloud computing products include AWS Elastic Compute, Google Cloud Engine and AWS Lambda. The most popular cloud computing services include Amazon Web Services, Google Cloud Platform and Microsoft Azure.

Data Science 76

Data Science Machine Learning Technology Analytics 76

Advertisement

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.

Visualization

Data Science and Beyond

FEBRUARY 4, 2019

One of the main projects I worked on last year. Recently, Automattic created a Marketing Data team to support marketing efforts with dedicated data capabilities. As we got started, one important question loomed for me and my teammate Demet Dagdelen: What should we data scientists do as part of this team…? Read more on data.

Marketing 69

Marketing 69

Timo Elliott

FEBRUARY 4, 2019

Over 50 tonnes of plastic waste were generated across the European Union last year, according to a study by the World Wildlife Fund , and consumers are increasingly concerned about the potential environmental impacts vividly illustrated in programs such as the BBC’s Blue Planet. Stephen Jamieson , Head of SAP Leonardo in the UK, saw an opportunity to innovate with purpose.

Machine Learning 55

Machine Learning Big Data Testing Technology 55

Teradata

FEBRUARY 4, 2019

Teradata was recently named a leader in the Gartner Magic Quadrant for Data Management Solutions for Analytics.

IT 40

IT Management Analytics 40

Nutanix

FEBRUARY 4, 2019

IBM Think, the flagship conference for IBM is a huge opportunity for customers and partners to learn about emerging technologies where IBM is involved, get one-on-one advice from IBM experts, and hear about the successes and challenges faced by global business leaders and industry disruptors.

Technology 20

Technology 20

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Introduction. Welcome back to our monthly series about data science. This month, let’s explore two themes in detail: take an in-depth look at Rev 2 and exploring how curiosity plays a vital, and perhaps non-intuitive, role in data science work.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

FEBRUARY 4, 2019

Late last year, the news of the merger between Hortonworks and Cloudera shook the industry and gave birth to the new Cloudera – the combined company with a focus on being an Enterprise Data Cloud leader and a product offering that spans from edge to AI. One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF).

IoT 73

IoT Prescriptive Analytics Digital Transformation Internet of Things 73

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.

Management