Data mining and predictive analytics

Dremio raises $160M for cloud data lake platform technology

The vendor is raising new money as demand for cloud data platform technology continues to grow as enterprises look to improve business intelligence and data analytics. Continue Reading

Hudi powering data lake efforts at Walmart and Disney+ Hotstar

An open source cloud data lake platform is finding adoption at large organizations including Uber, Walmart and Disney+ Hotstar as the demands of data scale grow. Continue Reading

Coalesce launches with data transformation platform

The CEO and co-founder of Coalesce gives insight into the startup's mission and the challenges organizations face with transforming data so that it's useful for data analysts. Continue Reading

5-step predictive analytics process cycle

A viable predictive model that yields valuable outcomes requires a methodical team approach to goal-setting, data integrity and model development, deployment and validation. Continue Reading

Informatica Cloud Data Marketplace brings data to business users

Fresh off its IPO, the data management vendor continues to expand its Intelligent Data Management Cloud services to enable organizations to effectively use data. Continue Reading

Business shift to a data monetization strategy elevates CDOs

As their focus dramatically swings from compliance issues to data monetization, chief data officers are on track to take their rightful place among C-level executives, but slowly. Continue Reading

ArangoDB advances graph database fortunes with new funding

Claudius Weinberger, co-founder and CEO of ArangoDB, discusses why the vendor is raising money to meet the growing demand for graph database technology. Continue Reading

The value of PDF data extraction: Sifting for hidden data

During the process of data cleaning, there's a way to extract valuable hidden data. Learn how in this excerpt from 'Cleaning Data for Effective Data Science.' Continue Reading

Bundesliga delivering insight to fans via AWS

Through its partnership with AWS, Germany's top soccer league is delivering advanced analytic insights to fans and broadcasters in real time during matches. Continue Reading

How automated metadata management improves business insights

Automating metadata management can cut down time spent on tasks such as data tagging and cataloging. Explore how automated metadata management is improving data quality. Continue Reading

AWS Data Exchange and the third-party cloud data marketplace

The general manager of the AWS Data Exchange data feed service details what the cloud data marketplace is all about and where it's headed in the future. Continue Reading

Creating a data advantage by building a data ecosystem

Developing a data ecosystem will improve personalization and customer retention. Find out how data mining across channels can build a data advantage for your organization. Continue Reading

Data fabrics help data lakes seek the truth

Data fabrics can play a key role in aligning business goals with the integration, governance, reliability and democratization of information collected in massive data lakes. Continue Reading

Synthetic data in healthcare advances patient analytics

Learn how synthetic data in healthcare can be beneficial across the board. Plus, get a sneak peek at a new book on synthetic data generation from O'Reilly Media. Continue Reading

Responsible AI champions human-centric machine learning

Encompassing ethics, transparency and human centricity, responsible AI is an effective approach to deploying machine learning models and achieving actionable insights. Continue Reading

Bias in machine learning examples: Policing, banking, COVID-19

Human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes and insights. Continue Reading

Process mining vs. data mining: What's the difference?

Both process mining and data mining tools can help business leaders make better decisions. Here's a look at how each works and what their differences are. Continue Reading

Data science's ongoing battle to quell bias in machine learning

Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading

Python exploratory data analysis and why it's important

Exploratory data analysis is a key step to building the best models to gain insight from your data. Read on to see how Python can be a useful tool in this process. Continue Reading

Immuta adds automated data governance for Databricks

Immuta has extended its data governance with new features that help enterprises with data privacy compliance for Databricks Unified Data Analytics Platform workloads. Continue Reading

Top 5 feature engineering tips for better models

From understanding a model's expected goal to factoring in subject matter expertise, experts talk about the best ways to improve your feature engineering. Continue Reading

Neo4j 4.0 major update boosts graph database security, scalability

Major milestone release of open source graph database platform enhances security with controls to limit the risk of data traversal and add multi-database support. Continue Reading

Compliance analytics helps data storage meet PII standards

Organizations are using predictive analytics and AI to sift through large data sets to ensure that any data stored is compliant with all personally identifiable information rules. Continue Reading

How can predictive analytics for unstructured data improve storage?

AI-based analytics capabilities are becoming pervasive in storage arrays. Find out how they're helping get the unstructured data deluge under control. Continue Reading

Swim DataFabric platform helps to understand edge streaming data

Swim released its new Swim DataFabric, which integrates with Microsoft Azure to help users organize and gain insights from streaming data sources. Continue Reading

Stibo Systems advances multidomain MDM system

The new Stibo Systems 9.2 update expands the MDM platform's features with Sisense business intelligence integration and machine learning capabilities. Continue Reading

Globe and Mail's AWS migration drives digital engagement

Canadian news outlet The Globe and Mail has broadly adopted AWS cloud services in a bid to increase reader engagement and digital subscription revenue. Continue Reading

Elastic Stack 7.3 adds new features to expand data analysis

Elastic Stack, in a new update, adds data frames capabilities to enable new forms of analysis, as well as integrating more data sources that can be searched and analyzed. Continue Reading

NetBackup at core of Veritas services platform

The Veritas services platform addresses protection, availability and data intelligence by unifying multiple products around NetBackup and its metadata catalog. Continue Reading

5 predictive storage analytics features you'll want to watch for

Predictive storage analytics tools are becoming standard equipment in the enterprise. Get to know the features you'll need, how they work and the benefits they provide. Continue Reading

Predictive networks: How realistic are they?

While the associated term might sound magical, predictive networks make use of real historical data to predict network events. Be ready for a bit of complexity, though. Continue Reading

Unlock distributed analytics with a microservices approach

Mobility creates distributed computing environments, which lead to a scenario where some of the older analytics processes are no longer useful. Distributed analytics with microservices can help. Continue Reading

Automated predictive analytics tools spawn wannabe scientists

They don't own the same depth of data science skills, but automated predictive analytics tools hatch a new breed of 'data scientists' who can produce actionable predictive models. Continue Reading

AI for analytics augments and bolsters business intelligence

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Develop smart AI in CRM strategies to win and keep customers

Of the three words that comprise customer relationship management, one word binds the other two. As necessity and competition dictate that CRM upgrade itself with artificial intelligence and flights to the cloud, what counts most in successful sales, support and marketing is the relationship companies maintain with their customers and the management of that relationship. The trick is to engage consumers with the most technologically advanced methods by way of chatbots, email, texts, social media and location services, while satisfying that very personal and delicate human connection based on trust.

The June issue of Business Information opens with our editor's note and an examination of the enormous potential of AI in CRM to improve communication with customers and personalize customer service -- the core of a company's ultimate success. Yet technological personalization devoid of human contact can produce the unintended consequences of depersonalizing and jeopardizing those critical relationships.

Along those lines, our cover story emphasizes the importance of devising smart AI in CRM strategies that take this delicate balance into account while focusing attention on today's more knowledgeable, more demanding and technologically savvy consumers. In another feature, we evaluate the factors to consider when choosing the right CRM public, private or hybrid cloud model, and that choice should depend on a company's size, needs, regulatory requirements and artificial intelligence strategies.

Also in this issue, AI applications created and developed specifically for space exploration are finding their way into the enterprise, thanks to a special collaboration between NASA and a business entrepreneur. In addition, designing a human-like chatbot with a winning personality requires a business-minded approach that speaks the customers' language. And as AI and cloud apps take on greater significance in CRM, marketers divulge several problems on the way to deployment and admit they're partly to blame.

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Web analytics market heats up

All eyes are on the Web analytics market as Google plans to acquire Urchin Software, and WebTrends parts ways with NetIQ. Continue Reading