Kalyan Veeramachaneni (@kveeramac, CEO/Founder @DataCebo) discusses the generation and value proposition of synthetic data for GenAI.SHOW: 813CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW NOTES:

• DataCebo (homepage)
• Synthetic Data Vault - SDV
• TechCrunch Article
• MIT News Article

• Email: show at the cloudcast dot net
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With the AI Era upon us, the challenge of trying to learn and make sense of the technologies, the business opportunities and the pitfalls is both exciting and equally terrifying.  

SHOW: 812

SHOW TRANSCRIPT: The Cloudcast #812

SHOW VIDEO: https://youtube.com/@TheCloudcastNET 

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:

WHEN WAS THE LAST TIME YOU REALLY LEARNED SOMETHING NEW IN TECH?

• Cloud was all new, but not completely
• The pace of cloud innovation seemed fast, but not in comparison to AI
• The focus was around one cloud vs. a new source every week

PICK A TOPIC, READ, BE CONFUSED, LOOK FOR CONFIRMATION, RINSE, REPEAT

• Where to start the learning process? 
• Where to pick a source of learning?(Coursera, MIT online, blogs/videos/search, etc.)
• How to determine legitimacy of the sources? 
• How far to learn before stopping to make sense? 
• Trying to relate it to something you already know? 
• How and when to ask questions? 

FEEDBACK?

• Email: show at the cloudcast dot net
• Twitter: @cloudcastpod
• Instagram: @cloudcastpod
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Brad Winett (President/Co-founder @TrackItCloud) talks about platforms for entertainment and media. Topics include use cases, partnering with AWS, and creation and consulting services. We even dig into AR and VR a bit at the end.

SHOW: 811CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW NOTES:

• TrackIt (homepage)

Topic 1 - Our topic for today is media and entertainment in the cloud. I don’t believe we have ever done a show specifically on this topic, and there are some considerations worth talking about. For today, we have Brad Winett, President and Co-founder at TrackIt. Brad, welcome to the show. Let’s jump right in. The media industry as a whole has undergone major change, just like many others. Most of us see it from the consumer end as a cord-cutter. What made you jump into this market and this industry specifically?Topic 2 - Platforms and content distribution in the early days of cloud was a differentiator. I think back to Netflix, they initially had a market advantage because they were able to scale better and to more devices than anyone and even open sourced a number of internally developed items and were the AWS poster child. Over time, these user experiences have become the norm. How should people out there think about media platforms? Are we past the days of build your own?Topic 3 - What about use cases? Media streaming is pretty broad. What does a normal customer look like? Is this big streaming services, smaller companies, etc?Topic 4 - How much of the tech stack is AWS products and how much of the stack is custom typically? Walk us through what a media streaming stack looks like. How is this different from a SaaS provider providing a turnkey service?Topic 5 - I know TrackIt is a big AWS partner. Give everyone an overview of the landscape of AWS Partnership these days. Do you provide mainly professional services and consulting? Topic 6 - Where does open-source software fit into this?Topic 7 - I feel the standard last question these days is how AI will potentially enhance or impact this is some way.FEEDBACK?

• Email: show at the cloudcast dot net
• Twitter: @cloudcastpod
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What will be the adoption patterns for AI within the Enterprise? Will it follow the early days of Cloud Computing, or will new and different patterns emerge? 

SHOW: 810

SHOW TRANSCRIPT: Cloudcast #810 

SHOW VIDEO: https://youtube.com/@TheCloudcastNET 

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:

WHAT WERE THE PATTERNS FOR ENTERPRISE IT AND CLOUD?

• Shadow IT
• High-scalability or Short-term Projects (and experimentation)
• Migration via “Cloud First” initiatives
• Difficult stuff came last

WHAT’S DIFFERENT ABOUT AI vs. CLOUD?

• CPU to CPU was easier to calculate vs. CPU + GPU
• Have we learned any lessons about how to value people's productivity?
• Does Enterprise AI need a Crawl, Walk, Run scenario? Do they need to be sequential and linked? 
• Are Enterprise AI use-cases well defined? 
• How long is the Enterprise willing to fail at experiments? 
• What’s the Enterprise tolerance for GenAI “flaws” (e.g. hallucinations, lack of citations, etc.)
• Will GenAI rejuvenate Predictive AI projects in the Enterprise? 

FEEDBACK?

• Email: show at the cloudcast dot net
• Twitter: @cloudcastpod
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Aaron (@aarondelp) and Brian (@bgracely) discuss the biggest tech stories, announcements, and trends from March 2024.

SHOW: 809SHOW TRANSCRIPT: https://bit.ly/cloudcast-809-transcriptCLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW NOTES:

• LINKS TO ALL THE ARTICLES FOR MARCH 2024 CLOUD NEWS 

Segments Covered in the Show:

• Good Old Fashioned Cloud News
• The AI Innovation Continues - Speed Round
• Trend 1 - KubeCon EU 2024
• Trend 2 - Microsoft continues to branch out from OpenAI as a partner
• Trend 3 - NVIDIA held a pretty massive GTC event

FEEDBACK?

• Email: show at the cloudcast dot net
• Twitter: @cloudcastpod
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• TikTok: @cloudcastpod

Let’s dig into the mindset behind the VMware price increases that have been happening since Broadcom acquired the company in 2023. 

SHOW: 808

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW SPONSORS:

• Want to win a Tesla Cybertruck or $100,000? Enter the WS02 Choreo Code Challenge (before April 30th)
• WSO2 Choreo - Why build a platform? Just add developers instead

SHOW NOTES:

• vmware-might-look-like-under.html">What VMware might look like under Broadcom (Eps.629, June 2022)
• What to do about VMware (Day Two Cloud, Feb 2024)
• VMware 10X Price Increase Leaves Companies Looking for Alternatives
• VMware pricing in the Broadcom Era

BROADCOM IS FITTING VMWARE INTO THEIR BUSINESS MODEL

• At least with acquisitions, Broadcom has a well-defined set of business metrics they expect from their companies
• Broadcom acts somewhere like private equity in terms of investment, innovation, revenue generation

IT'S A BOLD STRATEGY BROADCOM, LET’S SEE IF IT PAYS OFF FOR THEM

• In essence, the bet is that there is no replacement for VMware in the Enterprise
• The timing is interesting with the shifting of budgets for AI projects
• It puts customers in a position to pay more for limited upside, but having to distinctly cut other areas of their technology budget (risk the business)
• Customers have some options, but again they risk the business (e.g. hold off on security patches)
• Once a company accepts the new pricing, what guarantees are there about no additional big increases in the future? 
• How much will this impact the longer-term vendor-customer relationship?

FEEDBACK?

• Email: show at the cloudcast dot net
• Twitter: @cloudcastpod
• Instagram: @cloudcastpod
• TikTok: @cloudcastpod

Sean Falconer (@seanfalconer, Head of Dev Relations @SkyflowAPI, Host @software_daily) talks about security and privacy of LLMs and how to prevent PII (personally identifiable information) from leaking out

SHOW: 807CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:

• Want to win a Tesla Cybertruck or $100,000? Enter the WS02 Choreo Code Challenge (before August 30th)
• WSO2 Choreo - Why build a platform? Just add developers instead
• CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spend

SHOW NOTES:

• SkyFlow (homepage)
• Partially Redacted Podcast
• Software Engineering Daily

Topic 1 - Our topic for today is the security and privacy LLMs. What’s Sean’s origin story?Topic 2 - Let’s dig into LLM security and privacy. We see this concern a lot on the podcast and we’ve touched on it with various past shows, but we haven’t dug in deep. First, let’s frame the problem. What are we talking about when we talk about LLM security and privacy?Topic 3 - First, there is a fear that customer PII information might leak out. Second, company IP or confidential into might leak out related to products or offerings. We’ve seen examples of both to date. This could be exposed in the form of integration into a model (query it for the answer) or in the fine-tuning or RAG stage. Either one could lead to compliance issues, lost rev etc. But, that same data at risk is the potential differentiation of the models. How do you both mask the data but take advantage of the data?Topic 4 - One thing I’ve noticed is many orgs only think about privacy in relation to the fine-tuning stage where they are taking a broad model and making it company specific. It is about much more than that though. Just like standard software development, we have different stages. How is the data collected and stored, how is it used for training and fine-tuning, how is it used after deployment and during interaction stage, etc. How should security and privacy be handled across all phases?Topic 5 - Let’s talk beyond LLMs for a bit. What about Data Lakes and Data Warehousing? I see this as a problem across all big data, correct?Topic 6 - How does API security fit into this? Much of what we are talking about is at the storage and retrieval level. But, increasingly we see API issues exposing data. How does that fit in here?Topic 7 - Let’s talk podcasts, we had Jeff, the previous host of Software Engineering Daily on a few times. How are things over at Software Engineering Daily? Tell everyone a bit about the show.FEEDBACK?

• Email: show at the cloudcast dot net
• Twitter: @cloudcastpod
• Instagram: @cloudcastpod
• TikTok: @cloudcastpod

If you’re planning to deploy AI for your business, here’s 5 important capabilities your business needs from the cloud era in order to be successful. 

SHOW: 806

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW SPONSORS:

• Want to win a Tesla Cybertruck or $100,000? Enter the WS02 Choreo Code Challenge (before April 30th)
• WSO2 Choreo - Why build a platform? Just add developers instead

SHOW NOTES:

• The Year Ahead in Cloud and Expectations for AI in 2024 (Altitude podcast)

IF YOU WANT TO DO AI WELL, YOU NEED TO HAVE DONE CLOUD WELL

• When we first started doing cloud, the smart people would say, “If you don’t do IT well today, you won’t do cloud well in the future”.
• The same pattern will repeat itself with AI

5 IMPORTANT CLOUD CAPABILITIES NEEDED TO SUCCEED WITH AI

1. Automate everything - Make automation mission-critical
2. Build the right abstractions and flexibilities (e.g. sharing GPUs, Devtools, etc.)
3. Leverage platforms to bring together Data Science, MLOps and AppDev
4. Know how much things cost (e.g. FinOps)
5. Socialize success, and socialize learnings across teams

FEEDBACK?

• Email: show at the cloudcast dot net
• Twitter: @cloudcastpod
• Instagram: @cloudcastpod
• TikTok: @cloudcastpod

Krish Ramineni (@krishramineni, CEO/Founder of @Firefliesai) talks about what it is like to build an AI product company in both the pre-LLM era as well as post-LLMs. We also discuss privacy and security concerns and AI behind the scenes.

SHOW: 805CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:

• Want to win a Tesla Cybertruck or $100,000? Enter the WS02 Choreo Code Challenge (before April 30th)
• WSO2 Choreo - Why build a platform? Just add developers instead

SHOW NOTES:

• Fireflies.ai (homepage)
• Fireflies MIT Article

Topic 1 - Welcome to the show. Before diving into today’s discussion, tell us a little about your background.Topic 2 - Our show and listeners tend to be interested and employed in the Enterprise infrastructure and AI/ML space. Some may find it surprising that we are talking today, but we wanted to really dig into how an up-and-coming AI company provides value at scale from individuals all the way to large enterprises. What goes into both building the product as well as taking that product to market? So, let’s start there. You recently posted about “Free AI” on LinkedIn. What was the problem you were trying to solve, and how did that influence the product you built? Topic 3 - As the foundational models in the industry keep improving and are going multi-modal, do you worry that the LLMs of the world might push out specialized models? How do you think about staying ahead of the curve? How does something like GPU shortages or big companies like Meta purchasing thousands at a time impact your decisions?Topic 4 - Fireflies.ai is all about the abstraction of the technology away from the user. They have no idea (and shouldn’t) about the back end and everything “behind the curtain”. How do you think about this abstraction layer from a product standpoint?Topic 5 - Now, let’s talk about PLG vs. traditional Enterprise software sales models. You did another post about that recently. We’ve worked in environments selling both (sometimes at the same time), and they are very different motions. Do you feel both are needed to build an AI company?Topic 6 - How does Security and compliance with IT departments fit into all of this? I’ve spoken to customers that have a policy of no AI tools at the personal level for instance or maybe client, company and private data might be at risk and only certain tools are vetted and approved. I’ve seen other companies only allow tools licensed by their corp IT. How do you navigate this issue? How does something like GDPR play here?Topic 7 - Last question, another AI specific concern we hear about is companies training models on user data. What is your thoughts here? How does a company fine tune and train new models and products but keep customer and company privacy from leaking out?

FEEDBACK?

• Email: show at the cloudcast dot net
• Twitter: @cloudcastpod
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For years, the CNCF has been the central governance body for cloud-native projects. But are there too many projects now? What if the CNCF was less governance and more like private equity?

SHOW: 804

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW SPONSORS:

• Want to win a Tesla Cybertruck or $100,000? Enter the WS02 Choreo Code Challenge (before April 30th)
• WSO2 Choreo - Why build a platform? Just add developers instead

SHOW NOTES:

• CNCF Landscape
• CNCF Trail Map

WHY DOESN’T THE CNCF RECOMMEND A CLOUD-NATIVE STACK? 

• Originally the CNCF was just trying to get projects to use them for governance. 
• Many people wanted them to “define” a cloud-native stack. 
• Defining a stack would have held back their business model - accepting projects and adding sponsors

HOW MANY PROJECTS WOULD GET “CNCF APPROVED” IF THEY TOOK A PRIVATE EQUITY APPROACH?

• CNCF currently has 184 projects, up 4x over the last 4 years. 
• 14% graduates, 20% incubating, 62% sandbox 
• Does the CNCF suffer from the “Big Tent” problem that caused so many issues with OpenStack? 
• KubeCon keynotes are just a list of projects giving status updates - they could be an email. 
• How many projects should the CNCF sponsor? How many categories should remain?
• How would a private equity group apply metrics to CNCF projects? 

FEEDBACK?

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• Twitter: @cloudcastpod
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