Alex Simons

Listen to Oracle Life Sciences' recent Research in Action podcast to learn how patient-led research is being applied to clinical care: https://lnkd.in/gM-XNR7e

1

Engagement-based loyalty transforms customers into passionate fans. Register for this October 23 webinar to hear how a dynamic and profitable loyalty program can increase your revenue. https://lnkd.in/g_sQwWSm

1

Alphabet Inc. just posted its Q2 results and outlook for the remainder of the year. There is a lot to unpack here, and I think that my colleagues will have their own assessments. So, I will keep my comments specific to the Google Cloud division which aligns with my areas of research. If you want to hear or see more about other parts of the business please check out Anshel Sag, Matthew Kimball and Patrick Moorhead . POSITIVES 1) Financially, Google Cloud hit two major milestones $10B in quarterly revenue and $1.2 B in profit contribution. That's a bit north of 20% of total revenue for the quarter. 2) AI is a driver for Cloud with the majority of it's top 100 customers using AI capabilities. There was also a mention of over 2M developers using Google AI 3) Despite a strong emphasis on its own Gemini models, Google is continuing to expand its offers through partnerships with other AI and enterprise players. OPEN QUESTIONS 1) Spending looks to remaining flattish in terms of Head Count and CAP/EX. It seems like there may be some lag in terms of the market catching up to what has been an aggressive build up the past few years. However, it might also be a sign that new technology (chips and models) is more efficient. 2) When asked about areas of fastest AI growth and slower AI growth. CEO Sundar Pichai indicated that search and consumers had faster growth. And enterprise use was slower. Since Alphabet serves both areas that's good. But, it does beg the question about what we may hear from other enterprise only vendors. We shall see.

6

Is your #sales team bogged down with admin work? SugarCRM's enhanced reporting & data integration can change that. Here's how one customer boosted sales efficiency by 40%!

1

Learn the ins and outs of data latency with this expert guide from Oracle. https://lnkd.in/gnQJdJgS

1

It's best to fix things at the design stage.

5

New Episode: 260: Amazon Dispatches AWS CEO Adam Selipsky with Prime 2-day delivery Episode 260 of The Cloud Pod podcast, bringing you all the latest news from Cloud and AI including AWS, Azure, Google, OCI, GPT-4.o, C7i-flex, AWS CEO Changes and Amazon Polly #aws #gcp #azure #cloud #cloudpodcast #podcast

18

Our State of Platform Engineering in the Age of AI report examines trends, challenges and best practices to help us to better understand how and why organizations are implementing platform engineering practices. Check out all of the findings.

2

As advances in #AI are made, the need for curiosity and the ability to ask well-crafted questions will be the differentiator in innovation. Harvard Business Review shares a great article on how to use better prompts to stay curious: https://ow.ly/2lfZ30sFI3T #GenAI

1

Observability by design has really helped our serverless teams avoid costly delays and unexpected problems. Daniel Furman and I are sharing tips for how you can keep your serverless functions healthy. We’re on a mission to share our serverless expertise so others don’t have to reinvent the serverless wheel. Check out our observability video and explore more about Capital One Software serverless-first approach: Link: https://lnkd.in/e67dJZ4r

21

1 Comment

PagerDuty Advance brings cutting-edge GenAI capabilities to the PagerDuty Operations Cloud. Read the blog to learn more.

7

Introducing #Druva’s Amazon RDS air-gapped backup! 🚀 Druva delivers secure, fully isolated backups for your Amazon RDS instances—surpassing native AWS solutions that lack air-gapped support. 🔒 Key Features: ✅ Air-Gapped Backups: Isolate backups from your AWS Organization to mitigate ransomware risks. ✅ Simplified Management: Unified console for managing backups across AWS workloads. ✅ Cost Efficiency: Zero egress fees and reduced storage overhead. Protect your critical database workloads with the only truly air-gapped solution for Amazon RDS. 🌟 📢 Learn more: https://ow.ly/AbbX30sIsOv

8

Fine tuning an LLM (Large Language Model) means adapting it to specific data and tasks with the goal of improving performance on those and similar tasks. In a new blog post, my colleagues describe a set of best practices for fine-tuning Anthropic Claude 3 Haiku on Amazon Bedrock: 1 - Choose a suitable use case per the guidelines in the post. 2 - Gather a clean, high-quality data set and structure it for efficient training, with an optional system prompt. 3 - Customize and run the fine-tuning job. 4 - Assess the fine-tuned model's performance against relevant metrics and against the base model. 5 - Iterate and deploy. Read the entire post at https://lnkd.in/gAT6kzHK to learn a lot more!

121

9 Comments