Ed Anuff
- Chief Product Officer, DataStax
San Francisco
CPO Deepgram. You might know me from IBM, DataStax, Google, Apigee, Usergrid, Six Apart, Widgetbox/Flite, Vignette, Epicentric, Wired...
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Articles by Ed Anuff
Is Model Context Protocol the New API? | DataStax
As someone involved in the API standards space for a long time, I’ve always been interested in how software talks to software. One of the most exciting things to me about AI has been the possibility of automating key aspects of it, like making it possible to build powerful software agents that talk with the world of APIs around us. Now, Model Context Protocol (MCP) has emerged as the AI-native standard for continuing on the path started by previous standards like REST, SOAP and XML-RPC.
Is Model Context Protocol the New API?
As someone involved in the API standards space for a long time, I’ve always been interested in how software talks to software. One of the most exciting things to me about AI has been the possibility of automating key aspects of it, like making it possible to build powerful software agents that talk with the world of APIs around us. Now, Model Context Protocol (MCP) has emerged as the AI-native standard for continuing on the path started by previous standards like REST, SOAP and XML-RPC.
AI Agents Are About to Blow Up the Business Process Layer
When people think of generative AI, many envision it working as part of a “system of engagement” — a customer service agent, a supply chain management tool or a way to intelligently interact with and search an organization’s PDFs and other proprietary data. That’s an accurate view – for the next year or two, applications that intelligently create content by leveraging large language models (LLMs) will remain a primary AI focus for enterprises.
What’s the Hold Up On GenAI?
When generative AI landed on the scene two years ago, it was clear the impact would be sizable. However, the path to GenAI adoption has not been without its challenges. From budgeting and tools to finding an ROI, organizations are figuring out as they go along how to fit GenAI in. Here are 10 questions about the GenAI rollout and how it will impact your business. 1. What’s the GenAI budget?
When Will Infrastructure Companies See Gains from Generative AI?
A lot of questions are swirling about the state of generative AI right now. How far along are companies with their bespoke GenAI efforts? Are organisations actually building AI applications using their own proprietary data in ways that move the needle? What kind of architecture is required?
AI Agents Are About To Blow Up the Business Process Layer
When people think of generative AI, many envision it working as part of a “system of engagement” — a customer service agent, a supply chain management tool or a way to intelligently interact with and search an organization’s PDFs and other proprietary data. That’s an accurate view: For the next year or two, applications that intelligently create content by leveraging large language models (LLMs) will remain a primary AI focus for enterprises.
AI Agents Are About To Blow Up the Business Process Layer
When people think of generative AI, many envision it working as part of a “system of engagement” — a customer service agent, a supply chain management tool or a way to intelligently interact with and search an organization’s PDFs and other proprietary data. That’s an accurate view: For the next year or two, applications that intelligently create content by leveraging large language models (LLMs) will remain a primary AI focus for enterprises.
AI Agents Are About To Blow Up the Business Process Layer
5 hours ago This $0.08 AI Blockchain Could Be the ChatGPT of Crypto: Faster Growth Than XRP This Month Investors are backing an AI blockchain with a presale price of $0.08 as the ChatGPT of crypto. As ChatGPT took over the world and became a hot topic, … 16 hours ago Dassault’s New Falcon 10X Is Its Largest, Most Powerful Business Jet Yet The French aerospace company's defense DNA helps define its new ultra-long-range flagship. The family resemblance between Dassault’s Rafale fighter …
Generative AI: From Hype to Enterprise Transformation - Predictions 2025
By Ed Anuff, CPO, DataStax Generative AI is no longer just a futuristic concept; it is transforming how businesses innovate and interact with customers. With its potential to drive operational efficiency and deliver unparalleled user experiences, organisations are rapidly reevaluating their strategies to integrate this game-changing technology. AI Budget Allocation In the overall IT budget, AI will be a significant portion of any new funds allocated.
The Reality of AI and Cloud Adoption
When you want to understand where technology is really heading, look past the headlines and listen to the practitioners. The recent Apache Cassandra® user survey offers exactly that kind of ground truth, with 144 power users sharing insights that cut through the market noise about AI adoption and cloud transformation. What makes these results particularly compelling is how they align with what we're seeing from major enterprises in production environments.
When (and How) Will Enterprise GenAI Apps Get Real?
A lot of questions are swirling about the state of generative AI right now. How far along are companies with their bespoke GenAI efforts? Are organizations actually building AI applications using their own proprietary data in ways that move the needle? What kind of architecture is required? These questions aren’t surprising — there’s a huge range of opinions about AI out there, from unabashed optimism to jaded cynicism, mixed with a lot of hype.
Mitigate the OpenAI Debacle with Open Source and Cloud
Vector search capabilities on Astra DB enable complex, context-sensitive searches across diverse data formats for use in Generative AI applications, powered by Apache Cassandra®.
Fine Tuning Isn’t the Hammer for Every Generative AI Nail
Large language models (LLMs) are pretty amazing at creating new content based on their immense knowledge, but they’re far from perfect. LLMs don’t always return an answer that is useful, or even accurate. This is because LLMs are “stateless” — they don’t store data, so they can’t answer prompts with information that they weren’t trained on.
Manish Kapur
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Anant Jhingran
Cookie Policy When you visit, the website may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device, but does not usually directly identify you. The information is mostly used to make the website display the embedded content you expect to see and work the way you expect it to. These cookies are necessary for the website to function and cannot be switched off in our systems.
How LLMs Are Transforming Enterprise Applications
Artificial intelligence is the most transformative paradigm shift since the internet took hold in 1994. And it’s got a lot of corporations, understandably, scrambling to infuse AI into the way they do business. One of the most important ways this is happening is via generative AI and large language models (LLMs), and it’s far beyond asking ChatGPT to write a post about a particular topic for a corporate blog or even to help write code.
Bringing AI to the Data Center
With all the assumptions we make about the advancements in enterprise data and cloud technologies, there’s a plain fact that often gets overlooked: The majority of the most important enterprise data remains in the corporate data center. There are plenty of reasons for this — some reasonable, some not so much. In some cases, it’s because of the highly sensitive nature of data, whether it’s HIPAA compliance, sensitive banking data or other privacy concerns.
Ed Anuff
Cookie Policy When you visit, the website may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device, but does not usually directly identify you. The information is mostly used to make the website display the embedded content you expect to see and work the way you expect it to. These cookies are necessary for the website to function and cannot be switched off in our systems.
Surmounting the Challenge of Building Web3 Applications
Back in 1995, when I was director of product management at Wired, it was a big deal when we no longer had to go through AOL (remember them?) to get our content in front of our audience. There was a sense of excitement and potential about how the World Wide Web enabled us to bypass the gatekeepers and innovate without intermediaries.
Why So Many Organizations' Artificial Intelligence Initiatives Fail
You’re looking at your iPhone for a particular picture of your friend, taken a couple of years ago. There are thousands of images to search through, but the Apple Photo app zeroes in on the right person, and presto! Within seconds you find the picture you’re looking for.
Why Databases Need APIs
An application isn’t worth much until it’s put into production. For developers, getting to this point quickly means easy access to data they need to build with, without having to worry about the details of spinning up, managing and maintaining databases. APIs have become the de facto standard for connecting applications to databases, but it wasn’t always that way.
Database Evaluation is Key to Successfully Meeting the Needs and Demands of Today’s Consumers
This is part of Solutions Review’s Premium Content Series, a collection of contributed columns written by industry experts in maturing software categories. In this submission, DataStax Chief Product Officer Ed Anuff offers his take on why database evaluation is the most important part of the vendor selection process. In today’s fast-paced world, everyone not only prefers but expects, for apps to meet them at the speed of life.
Database Evaluation: Key Functions to Consider Right Now
This is part of Solutions Review’s Premium Content Series, a collection of contributed columns written by industry experts in maturing software categories. In this submission, DataStax Chief Product Officer Ed Anuff offers his take on why database evaluation is the most important part of the vendor selection process. In today’s fast-paced world, everyone not only prefers but expects, for apps to meet them at the speed of life.
GraphQL and Graph Data: Two Sides of the Same Coin?
Editor’s note: StepZen CEO Anant Jhingran and DataStax Chief Product Officer Ed Anuff were colleagues at Apigee and Google. Here, they share their thoughts on how GraphQL and graph databases are connected. It’s been a longstanding statement by graph data experts that graph databases and GraphQL are two completely different, unrelated things. They’ll often bring up the analogy of JavaScript’s relationship to Java; the former, after all, is a programming language that isn’t part of the Java platform.
The Vision of Hybrid API Management
Ed Anuff Ed Anuff runs products and strategy for Google Cloud’s Apigee team. His previous roles include founder and CEO of WidgetBox and founder and CEO of Epicentric. From certain angles, the things that have made API management successful have caused its reach to extend its initial grasp — and that means the API management industry has had to rethink itself.
Baidu: Hackers Tried To Steal Our Autonomous Trade Secrets
Chinese search giant Baidu has disclosed that a “gang” of hackers tried to steal autonomous trade secrets from the company’s internal servers earlier this month. The company is conducting an internal investigation to figure out more about the attackers, but so far has kept tight lipped on details. “It’s very difficult to know who employs them to do that, but we know someone tried to hire an underground market hacker to steal from us,” said Ma Jie, the firm’s head of cybersecurity.
Interoperability: The key to the emerging smart city
Smart city technologies continue to experience rapid growth, both in the development of new devices and their applications within the city environment. Globally, cities’ investment in Internet of Things (IoT) technologies will increase by $97 billion from 2015 – 2019. In order for these investments to realize a return, innovators, manufacturers, and policymakers need to work together to first solve one of the most complex challenges that faces smart city development — interoperability.
Google paces pack in autonomous car race, says California regulator
Alphabet’s self-driving division, Waymo, is far ahead of the competition in the autonomous car race, according to data released by regulators in California. Compared to other autonomous car systems, Waymo’s is more accurate, requires less human intervention (0.2 times per thousand miles) and has logged 30 times more autonomous miles than all competitors combined.
Audi and Nvidia commit to road-ready driverless car by 2020
Nvidia and Audi confirmed plans to have a road-ready driverless car by 2020 at the Consumer Electronics Show (CES) 2017 in Las Vegas. The driverless car will have Level 4 capability, meaning it is able to work without a driver or steering wheel. Before that, Audi will launch the first Level 3 autonomous car, which can do most stuff autonomously but still needs human override control.
Honda In Talks With Google To Build Self-Driving Vehicles
Honda has started formal talks with Google’s self-driving division to develop another autonomous vehicle for its burgeoning test program. The Japanese automaker revealed the news on Thursday. See Also: In a crowded field, who is ahead in the autonomous car race? Waymo, the newly named self-driving division of Alphabet, recently refitted 100 Fiat Chrysler minivans with its latest self-driving tech.
Soon-to-launch Ayda helps you with your baby-making
Ayda, a promising new health wearable taking family planning to a whole new level that was founded just last year, is set to launch soon. The firm raised around $600,000 in seed capital and was recently named a “High Potential Startup” by Enterprise Ireland. Ayda’s mobile phone app – currently in the design stages – tracks fertility stages in women. The Ayda wearable is placed under the arm, in order to collect and interpret data during sleep.
INRIX pings - then helps you avoid - millions of cars
INRIX has relaunched a completely redesigned version of its INRIX Traffic app that harnesses a network of over 275 million vehicles and other sensors to make your commute that much easier. Available worldwide today – in both iOS and Android flavors – INRIX Traffic learns your preferences to take the guesswork out of driving.
Without an API, connected things don't connect
As both a smart home and IoT enthusiast, as well as an API strategist by day, I’ve been very disappointed with how many of the companies involved in the connected home space have approached making their products work with each other. From the show floors of CES, to the aisles of Home Depot and Best Buy, the range of new smartphone-controlled lights, appliances, and entertainment devices is growing by the day.
Cisco's Berlin "Smart City" effort aims to help digitize citizens' lives
According to a report in ZDNet, the IT networking giant announced plans last week to invest in digitizing the lives of Berlin residents in conjunction with local government. The focus of Cisco’s Berlin efforts is on three key areas: telemedicine, security and network infrastructure improvements. The Berlin initiatives are part of Cisco’s $500 million “Deutschland Digital” program, announced on March 8, which strives to accelerate Germany’s digitization.
Almost everyone is doing the API economy wrong
It’s time to hold companies to a higher standard when it comes to APIs. As software “eats the world,” it seems like it’s not enough for a business to just serve its customers and hopefully make a profit, they also have to be “platforms” — and, as any developer would respond, these days you just can’t be a platform without an API. Read More
Reach Two-Speed IT With APIs
The rapid growth in mobile, big data, and cloud technologies has profoundly changed market dynamics in every industry, driving the convergence of the digital and physical worlds, and changing customer behavior. It’s an evolution that IT organizations struggle to keep up with.
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