erwin
JULY 11, 2019
At a fundamental level, digital transformation is about further synthesizing an organization’s operations and technology, so involving business architecture and process modeling is a best practice organizations cannot ignore. This post outlines how business architecture and process modeling come together to facilitate efficient and successful digital transformation efforts.
Dataiku
JULY 11, 2019
The day prior to our EGG LDN 2019 conference , we’ve opened the doors of our UK office for a hackathon, providing participants with the opportunity to learn new skills, improve their knowledge of Dataiku, and work together on positive-impact projects.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Boris Evelson
JULY 11, 2019
I recently had a privilege (not to mention a lot of fun) to participate in a brainstorming session with a large enterprise software vendor and my esteemed colleagues John Rymer, Rob Koplowitz, and Jeffrey Hammond on the topic of low-code app dev. It’s not a well-known fact (but Forrester has been publicizing it for a […].
Smart Data Collective
JULY 11, 2019
Big data plays a prominent role in almost every facet of our lives these days. We are witnessing a growing number of companies using big data in healthcare , criminal justice and many other fields. One area that benefits from big data the most is website management and outreach. A growing number of web-based companies are using big data to interact more with their users.
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.
IBM Big Data Hub
JULY 11, 2019
The All England Lawn Tennis Club (AELTC) loves their data. During The Championships, Wimbledon , last year alone, IBM collected 4.5 million tennis data points covering every point in every match. In fact, the All England Club has data going all the way back to when The Championships started in 1877.
Smart Data Collective
JULY 11, 2019
Data loss is a common problem that many people face. The average data loss in incident at the corporate level costs $5.4 million. These costs might be lower for smaller businesses, but the consequences can be even higher, considering that they have more limited budgets. The good news is that big data technology has made data recovery more effective.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smarten
JULY 11, 2019
Smart Data Visualization and Augmented Analytics Makes Users Smarter! Why is smart data visualization important? Consider how difficult it would be to put together a jigsaw puzzle if you were blindfolded. You might have access to all the pieces, but you could not truly see the picture unless you were able to visualize the outcome. Data is like that.
Boris Evelson
JULY 11, 2019
I recently had the privilege (not to mention a lot of fun) to participate in a brainstorming session with a large enterprise software vendor and my esteemed colleagues John Rymer, Rob Koplowitz, and Jeffrey Hammond on the topic of low-code app dev. It’s not a well-known fact (but Forrester has been publicizing it for a […].
Ontotext
JULY 11, 2019
Databases are very good for answering precise and complex questions. Still, they fail at simple human cognitive tasks such as: “Show me similar articles to the currently selected” or “Find resources that look very close to this one”. GraphDB’s Similarity plugin is a promising new feature that brings cognitive awareness to Ontotext’s semantic graph database by leveraging the knowledge graph links.
Jedox
JULY 11, 2019
For most finance professionals, Excel has long been the gold standard for budgeting, planning, and forecasting. It is a great tool with numerous features that offer a lot of functionality. But in the global marketplace that is facing rapid changes due to digital transformation, is Excel alone still enough? In a 2018 survey , 80% of organizations reported they are still reliant on Excel for their budgeting, planning, and forecasting and almost as many reported that non-integrated systems present
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.
Ontotext
JULY 11, 2019
Ontotext’s GraphDB is an enterprise-ready semantic graph database (also called RDF triplestore because it stores data in RDF triples). It provides the core infrastructure for solutions where modelling agility, data integration, relationship exploration, cross-enterprise data publishing and consumption are critical. . GraphDB is fully compliant with W3C’s standards and can perform logical inference at scale allowing users to derive new facts and relationships.
datapine
JULY 11, 2019
The rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards – like the one featured above – swift, simple, and accessible to today’s forward-thinking businesses. In the digital age, there’s little need for a department of IT technicians, plus a qualified graphic designer, to create a dazzling data dashboard.
Nutanix
JULY 11, 2019
Disruptive technologies often encounter resistance in the form of status quo biases. To properly combat these biases, you need to know what they are, their true causes, and how to tell a different kind of story--one based in financial analysis--to rationalize IT decision making.
Smart Data Collective
JULY 11, 2019
It is no longer a secret that Big Data has left a major footprint on the financial market and has changed the way we interact with financial institutions. However, its influence goes much farther. Trading, which is an field that welcomes change and adopts disruptive innovations early, now also benefits from the ramifications of Big Data and is transforming to the benefit of both parties involved: traders and brokers.
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.
Jet Global
JULY 11, 2019
With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends.
Expert insights. Personalized for you.
106 
Let's personalize your content