Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Google Cloud Summit 2023- Scale With AI

“Google will do with AI what Apple did with the iPhone, which will drive consumer demand for the enterprises.” Pavel Abdur-Rahman, IBM

The Google Cloud Summit was held on 18th May 2023. We joined Google Cloud Startup Summit and heard from top VCs, Google experts, and founders to support a startup journey. Accessed technical resources, AI insights, and Google Cloud solutions to bridge the gap between inspiration and execution. In this blog, we are going to provide an overview of the event and some key takeaways.

What is special about Google Cloud?

Google Cloud Allows Quick Collaboration: Many users can contribute to and access projects at the same time as data is stored in the cloud instead of their computers. Google’s Investments in Security Protect Customers: Customers benefit from process-based and physical security investments made by Google.

Why Google CloudRead More: ChatGPT Won’t Replace Your Marketing Job, But it’s Critical to Leverage for Success

Latest product announcement for Google I/O’23

1) Vertex AI – One AI platform, every ML tool you need. Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Vertex AI currently comprises more than 22 services, so for simplicity we will cover the five core services to get your end-to-end machine learning process enabled and enterprise ready.

  • Vertex AIVertex AI Workbench
  • Vertex AI Feature Store
  • Vertex AI Training
  • Vertex AI Prediction
  • Vertex AI Pipelines

2) Accelerate machine learning models with Google supercomputers Cloud TPU empowers businesses to speed up their machine learning models, including Natural Language Processing (NLP), ranking and recommendations, and computer vision. Developers, researchers, and businesses can tap into the same custom-designed machine learning ASICs (application-specific integrated circuits) that power Google’s Search, YouTube, and LaMDA AI model.

3)Timeseries Insights API – Anomaly detection in time series data is essential for day-to-day operation of many companies. With Timeseries Insights API Preview, you can gather insights in real time from your time series datasets.

Accelerating your startup’s growth with generative AI

Generative AI is ushering in a technology paradigm shift, inspiring new products and services, transforming knowledge work, and improving customer experiences across industries. In this keynote session, June Yang, VP of Cloud AI and Industry Solutions, gave startup leaders an inside look at new generative AI offerings from Google Cloud.

Latest Insights: Is Customer Experience Strategy Making or Breaking Your ‘Shopping Festival’ Sales?

Top startups are building on Google CloudWhat it takes to build a disruptive AI startup

Lead, Google Cloud APAC SMB, will bring together founders from across multiple industries to discuss how they were able to grow their startups so successfully in such a short time frame. They talked about key challenges, inflection points, and the role cloud played in the development journey as well as shared lessons learned, alongside their most valuable advice for early and mid-stage startups in the current climate.

AI has been utilized in B2B Sales for quite sometime for: (1) Extracting insights into your customer behavior (i.e. predict which customers are most likely to buy), (2) Automating repetitive sales tasks: leads generation, leads qualification & even scheduling appointments. These are just some of the few examples of how AI is being used in B2B Sales today. They expect more developments to come.

Related Posts
1 of 11,696

Why build your startup on Google cloud

AI, macro-funding, and more – Advice on raising capital in a shifting climate

It  brought together investors from across the region, to discuss how they’re investing in startups as the climate shifts. They shared their perspective on recent trends affecting startups, including AI and macro-funding, and how they see startup founders building and hyper scaling in this environment. They discussed how to handle budget constraints on different platforms of google as startup. Here are the points:

(1) Choose the right platforms: Take some time to research the different platforms & choose the ones that are right for your business.

(2) Use free trials: Many Google platforms do offer free trials. Check out: cloud.google.com/free for some of our Free-Tier products for eligible customers.

(3) Leverage discounts (i.e. Committed-Use-Discounts, Sustained-Use-Discounts for Google Cloud).

Many people are trying to raise capital for the first time since they are the startup founders, they should take care of the following things, as a advice by the Managing Director, Sequoia Capital, Abheek Anand:-

1) Navigate yourself to come up with things with market

2) Pain points of your customers

3) Being in a good neighborhood

4) Think long term

5) Don’t hit wrong cruise of capital

6)Use time efficiently

Ways Google Cloud can help you build faster with data and AI

Neama Dadkhahnikoo, Outbound Senior Product Manager at Google Cloud, and Stef van Grieken, CEO and Co-founder at Cradle, shared their perspective on how startups can take advantage of Google’s industry-leading data and AI solutions. What works for a prototype isn’t always the best choice for production and scale. Regardless of who’s running your current workloads, your next data and AI workloads should be on Google Cloud. Neama and Stef discussed the opportunities, challenges, and costs of various multi-cloud and migration strategies, and the top three things every startup leader should consider as they think about AI.

[To share your insights with us, please write to sghosh@martechseries.com]

Comments are closed.