Extracting value from data: How the cloud can help
BrandPost AWS

Extracting value from data: How the cloud can help

Businesses are collecting massive amounts of data annually, but do they really know how to make good use of it? A recent study from NewVantage Partners finds the answer is: not really. Nearly three-quarters of organizations in the...

The future of databases and application development
BrandPost AWS

The future of databases and application development

Microservices have emerged as the favored development approach for cloud computing platforms. Importantly, microservices architectures have finally reached the database, unlocking new opportunities for innovation and business...

From POC to production: Keys to scaling machine learning
BrandPost AWS

From POC to production: Keys to scaling machine learning

Many machine learning (ML) projects stall between proof-of-concept (POC) and full-scale production. Successfully scaling pilots across the organization requires a combination of business leadership buy-in, the right skills and...

How to create a data-driven culture
BrandPost AWS

How to create a data-driven culture

Conversations about data-driven enterprises often focus on tools, big data, and the technological advancements that have made storing, processing, and analyzing data faster and cheaper.

How to build data capabilities
BrandPost AWS

How to build data capabilities

When it comes to the data, it is culture first and capability second. In my previous post, I talked about how executives can create a data-driven culture in their enterprises.

Overcoming the challenges of machine learning at scale
BrandPost AWS

Overcoming the challenges of machine learning at scale

Machine learning (ML) and artificial intelligence (AI) technologies are increasingly on the investment list for IT leaders. Among the many benefits of these technologies, building and deploying ML models can add automation to...

5 steps to building a modern data foundation
BrandPost AWS

5 steps to building a modern data foundation

Using data as a springboard for innovation requires the ability to see, analyze, and act on data across the enterprise. Here’s how you can get there.

3 use cases for machine learning you probably haven’t thought of
BrandPost AWS

3 use cases for machine learning you probably haven’t thought of

As organizations gain more experience deploying machine learning (ML) and artificial intelligence (AI) across different parts of the business, they’re discovering new and interesting ways to use the technology.

How data-literate is your organization?
BrandPost AWS

How data-literate is your organization?

Evaluating your organization’s level of data literacy is the first step toward creating a fully data-driven corporate culture that empowers everyone to perform better.

3 machine learning myths and how to overcome them
BrandPost AWS

3 machine learning myths and how to overcome them

To succeed with machine learning, you’ll have to get past these common misperceptions about the technology

Preparing for the next disruption: How a flexible data architecture improves business agility
BrandPost AWS

Preparing for the next disruption: How a flexible data architecture improves business agility

As the volume and types of data continue to grow, businesses need to integrate, manage, and secure in new ways that enable agility and more accurate decision-making.

The business imperative for machine learning
BrandPost AWS

The business imperative for machine learning

Improvements in cloud technologies and processing power have provided a solid foundation for mainstream adoption of machine learning (ML).

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