David Menninger's Analyst Perspectives

MAY 15, 2025

According to my colleague Jeff Orr , the core of the idea is that conversational automation tools benefit from artificial intelligence (AI), allowing software agents, chatbots and virtual assistants to automate customer interactions and internal processes. Not to be extra confusing, but the category is sometimes called conversational AI.)

Interactive 130

Interactive Software Cost-Benefit Marketing 130

DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019. What is a Data Fabric?

Statistics 246

Statistics Optimization Data Analytics Technology 246

AWS Big Data

MARCH 13, 2025

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. It enables teams to securely find, prepare, and collaborate on data assets and build analytics and AI applications through a single experience, accelerating the path from data to value.

Analytics 114

Analytics Data Lake Data Warehouse Data-driven 114

CIO Business Intelligence

NOVEMBER 12, 2024

So, this idea of AI apprenticeship, the Singaporean model is really, really inspiring.” We are happy to share our learnings and what works — and what doesn’t. So, based on a hunch, we created the AI Apprenticeship Programme. And you get experts who are embedded in the local community.

Modeling 116

Modeling Machine Learning Consulting Deep Learning 116

CIO Business Intelligence

MARCH 11, 2025

Strong domain expertise, solid data foundations and innovative AI capabilities will help organizations accelerate business outcomes and outperform their competitors. Enterprise technology leaders discussed these issues and more while sharing real-world examples during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI.

Enterprise 108

Enterprise Insurance Forecasting Optimization 108

Rocket-Powered Data Science

JULY 6, 2021

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. 2) MLOps became the expected norm in machine learning and data science projects.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational? Re-analyzing existing data is often very bad.”

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

O'Reilly on Data

APRIL 5, 2023

Based on what we’ve seen so far, however, AI seems much more capable of replaying the past than predicting the future. That’s because AI algorithms are trained on data. By its very nature, data is an artifact of something that happened in the past. Data is a relic–even if it’s only a few milliseconds old.

Cost-Benefit 309

Cost-Benefit Data-driven Measurement Visualization 309

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 300

Testing Machine Learning Consulting Data Science 300

O'Reilly on Data

NOVEMBER 28, 2023

What’s the reality? We wanted to find out what people are actually doing, so in September we surveyed O’Reilly’s users. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed. We’ve never seen adoption proceed so quickly.

Enterprise 342

Enterprise Testing Modeling Reporting 342

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

CIO Business Intelligence

NOVEMBER 7, 2024

It’s a concept I hear a lot about but I’m not sure I agree with what people are saying,” he says, adding that most leaders are interested in just-in-time approaches because they think gen AI is expensive. And although AI talent is expensive , the use of pre-trained models also makes high-priced data-science talent unnecessary.

IT 132

IT Manufacturing Data Science Modeling 132

Rocket-Powered Data Science

JUNE 17, 2022

While the event was live in-person in Las Vegas, I attended virtually from my home office. What I missed in-person was more than compensated for by the incredible online presentations by Splunk leaders, developers, and customers. None of that was necessary on the Splunk.conf22 virtual conference platform. is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

O'Reilly on Data

APRIL 30, 2024

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? They will shape not just what information is shown to us, but how we think and express ourselves.

Risk 317

Risk Advertising Cost-Benefit Sales 317

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

CIO Business Intelligence

FEBRUARY 27, 2025

A high hurdle many enterprises have yet to overcome is accessing mainframe data via the cloud. Mainframes hold an enormous amount of critical and sensitive business data including transactional information, healthcare records, customer data, and inventory metrics.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. They indeed enable you to see what is happening at every moment and send alerts when something is off-trend.

Technology 279

Technology Internet of Things IT IoT 279

O'Reilly on Data

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Interestingly, R itself continues to decline.

Data-driven 363

Data-driven Software Statistics Marketing 363

CIO Business Intelligence

APRIL 9, 2025

Thats so last semester. Banerji helps Australian universities like RMIT scale up projects like chatbots and virtual assistants to handle student inquiries. Banerjis clients have also used gen AI to collect enrollment data to do timetabling for class scheduling, engage facility capacity, and handle staff rostering.

Interactive 110

Interactive Technology Statistics Consulting 110

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields. What’s the motive?

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

O'Reilly on Data

APRIL 9, 2019

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. Otherwise, this leads to failure with big data projects.

Data Science 280

Data Science Big Data Management ROI 280

O'Reilly on Data

JULY 11, 2023

But what does this mean in practice? What does this mean for people who earn their living from writing software? Design—of the software itself, the user interfaces, and the data representation—is certainly not going away, and isn’t something the current generation of AI is very good at. Programming without virtual punch cards.

Testing 267

Testing Software Visualization Interactive 267

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco. Data takes a long journey.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

DataKitchen

SEPTEMBER 17, 2021

Below is our final post (5 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a data mesh decentralized architecture. We see a DataOps process hub like the DataKitchen Platform playing a central supporting role in successfully implementing a data mesh.

Testing 237

Testing Data Architecture Measurement Visualization 237

CIO Business Intelligence

MARCH 4, 2025

It mostly happened, not because CIOs became better at explaining what IT is all about, but because Digital happened. Except that Digital didnt end up meaning what many commentators said it meant. Theyve lived there since COVID legitimized the virtual workforce. Then CEO tech literacy happened. Thats much worse.

Technology 86

Technology Interactive IT Management 86

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1: The four phases of Lean DataOps. production).

Testing 246

Testing Metrics Measurement Dashboards 246

Smart Data Collective

FEBRUARY 8, 2022

They are discovering the benefits of using the cloud to utilize data and facilitate communications between employees, customers, contractors and other stakeholders. One of the underappreciated benefits of cloud technology is that it makes it easier to work with virtual assistants. John Keogh has been a virtual assistant for 20 years.

Technology 145

Technology Cost-Benefit Business Intelligence Marketing 145

AWS Big Data

DECEMBER 4, 2024

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving.

Data Analytics 105

Data Analytics Analytics Data Lake Data Quality 105

CIO Business Intelligence

JULY 5, 2024

The landscape of data center infrastructure is shifting dramatically, influenced by recent licensing changes from Broadcom that are driving up costs and prompting enterprises to reevaluate their virtualization strategies. Clients are seeing increased costs with on-premises virtualization with Broadcom’s acquisition of VMware.

Cost-Benefit 124

Cost-Benefit Data Processing Reporting Enterprise 124

Smart Data Collective

DECEMBER 22, 2021

Big data technology has become an invaluable asset to so many organizations around the world. There are a lot of benefits of utilizing data technology, such as improving financial reporting, forecasting marketing trends and efficient human resource allocation. You need to know how to utilize it properly.

Big Data 145

Big Data Forecasting Data-driven ROI 145

CIO Business Intelligence

AUGUST 15, 2024

Generative AI has been hyped so much over the past two years that observers see an inevitable course correction ahead — one that should prompt CIOs to rethink their gen AI strategies. Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

DECEMBER 12, 2024

In this post, we continue from Accelerate Amazon Redshift secure data use with Satori Part 1 , and explain how Satori , an Amazon Redshift Ready partner, simplifies both the user experience of gaining access to data and the admin practice of granting and revoking access to data in Amazon Redshift.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Data Architecture 98

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

CIO Business Intelligence

MAY 6, 2025

Traditional security models: Whats the risk? So, to protect it, organizations deploy appliances like firewalls and virtual private networks (VPNs) in an attempt to establish a security perimeter that keeps bad things out and good things in. As such, they are often unable to stop data loss.

Modeling 71

Modeling Cost-Benefit Risk Technology 71

Rocket-Powered Data Science

MAY 21, 2024

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. Summary AI devours data. I believe that the time, place, and season for artificial intelligence (AI) data platforms have arrived.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239