How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search 

Ontotext

Pharma has deep roots in human history with centuries of folk pharmaceutical knowledge offering a hit-and-miss range of natural remedies. From this processed data a knowledge graph (KG) is created.

AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Ontotext

We apply Artificial Intelligence techniques to understand the value locked in this data so we can extract knowledge that can benefit people. Milena Yankova : Our work is focused on helping companies make sense of their own knowledge. Source: Economy.bg. On March 19, 2019, Economy.bg

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KDD 2020 Call for Research, Applied Data Science Papers

KDnuggets

ACM SIGKDD Invites Industry and Academic Experts to Submit Advancements in Data Mining, Knowledge Discovery and Machine Learning for 26 th Annual Conference in San Diego. 2019 Dec Events Applications CA KDD KDD-2020 Research San Diego

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KDD 2020 Opens Call for Papers

Data Science 101

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Topics of interest include artificial intelligence, big data, data analytics, data science, data mining, deep learning, knowledge graphs, machine learning, relational databases and statistical methods.

KDD 61

Learning, Innovation and Business Change

DataFloq

Creating new knowledge is an intuitive human endeavour and it brings value and change to individuals, companies and society by shedding light the patterns, practices, inconsistencies and paradoxes in the observed world.

On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. And this is what Ontotext’s role in the project is about: knowledge graphs. Blog Business ExaMode knowledge graph supercomputer

Understanding Social And Collaborative Business Intelligence

datapine

Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward. It also facilitates BI tool user adoption, allowing the organization to share knowledge and resources.

Unlocking the Power of Better Data Science Workflows

Smart Data Collective

Phase 4: Knowledge Discovery. My aim with any notebook is to enable someone to pick it up without any prior knowledge of the project and fully understand the analysis, decisions made and what the final output means,” Osborne explains.

Crafting a Knowledge Graph: The Semantic Data Modeling Way

Ontotext

The term “knowledge graph” (KG) has been gaining popularity for quite a while now. Although there is still no single, universally accepted definition, there have been various attempts at it – such as in Towards a Definition of Knowledge Graphs.

Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs.

How Do Super Rookies Start Learning Data Analysis?

FineReport

Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen.

Ontotext’s Most Popular Blog Posts for 2019

Ontotext

As 2019 comes to an end, we at Ontotext are taking stock of the most fascinating things we have done to empower knowledge management and knowledge discovery this year. Here’s our countdown: It Takes Two to Tango: Knowledge Graphs and Text Analysis.

FAIRifying Meta(data) Using Tamr Unify

Tamr

This metadata is exactly what is needed to FAIRify the data asset and “facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate…data and their associated algorithms and workflows.”

Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs.

Fundamentals of Data Mining

Data Science 101

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Domain Knowledge. The foremost step of this process is to possess relevant domain knowledge regarding the problem at hand. To anyone looking at a large pile of data, it may seem like a collection of junk unless the person has the background knowledge and information about the business.

Google bets on AI and so should you

Perficient Data & Analytics

The future of data and analytics will make the data an equal partner on knowledge discovery. Google used it’s I/0 2018 platform to let us know that it has moved it’s thinking past search as we use it now and focusing more on AI. Google’s vision has always been to organize the world’s information and make it universally accessible and useful. How would an emphasis on AI over search fit into this vision?

Understanding Social And Collaborative Business Intelligence

datapine

Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward. It also facilitates BI tool user adoption, allowing the organization to share knowledge and resources.

Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

This knowledge has influenced our decision-making way beyond the concrete cases we studied in detail. We use this knowledge to define objective functions to optimize our ads system with a view towards the long-term.

Using Empirical Bayes to approximate posteriors for large "black box" estimators

The Unofficial Google Data Science Blog

Brendan McMahan et al, "Ad Click Prediction: a View from the Trenches" , Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013. [3]

KDD 52

LSOS experiments: how I learned to stop worrying and love the variability

The Unofficial Google Data Science Blog

References [1] Diane Tang, Ashish Agarwal, Deirdre O’Brien, Mike Meyer, “ Overlapping Experiment Infrastructure: More, Better, Faster Experimentation ”, Proceedings 16th Conference on Knowledge Discovery and Data Mining, Washington, DC

Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

References [1] Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike Meyer, “ Overlapping Experiment Infrastructure: More, Better, Faster Experimentation ”, Proceedings 16th Conference on Knowledge Discovery and Data Mining, Washington, DCby AMIR NAJMI Running live experiments on large-scale online services (LSOS) is an important aspect of data science.