During the Cloud Next ‘ 24 meeting, which took place in Las Vegas from April 9 to 11, Google Cloud revealed a new business license for Chrome and a host of relational AI add-ons for Google Workspace. Google Cloud is, in general, putting its Gemini conceptual AI into practice as much as it can. For example, the organization is betting on providing Vertex AI system for another businesses ‘ AI and technology like the fresh Axion CPU.
A conceptual AI video support for domestic communications use was presented at a pre-briefing for an earlier look at the new features and tools. What are the most significant business information from Google Cloud Next, in our opinion, is presented in this table.
Safety features are added to Chrome Enterprise Premium.
Business browsers may be a cutting-edge trend. Gartner predicted that browsers created specifically for enterprise-level stability and support may reach a high level of implementation by 2030. Google contributes to Chrome Enterprise Premium. Chrome is enhanced by this business tier, which adds an additional layer of security:
- Business controls for policy enforcement, administration of technology updates and extensions.
- Function and machine monitoring.
- Criminal security reporting.
- Context- informed access regulates.
- Concern and information security.
Chrome Enterprise Premium is accessible now, April 9, wherever Chrome is offered. It costs$ 6 per user per month.
Axion is Google’s primary Shoulder- based Motherboard
Some Google Cloud companies, such as BigQuery, will immediately run on Google Axion Computers, Google’s primary practice Arm- based CPU for data centers ( Number A). According to Google Cloud, Axion exhibits 50 % more performance than comparable x86-based digital models of the present day. Circumstances on Google Compute Engine, Google Kubernetes Engine, Dataproc, Dataflow, Cloud Batch and more will be available after in 2024.
Find A
Vertex AI may dominate Google Search.
Starting April 9, Vertex AI trained designs may become sworn out of Google Search. Depending on the type of files being used for the education, this may become contentious.
Grounding AI is part of the pattern of Retrieval Augmented Generation, which avoids “hallucinations” by checking the AI against real knowledge. Google Cloud says wiring will deliver models built on Vertex AI with “fresh, substantial- quality information”.
a large number of AI additions for Facebook surveillance products
Google Cloud’s different announcements focused on incorporating Gemini into security products, which might have been a step in the direction of Microsoft’s complete integration of Copilot into its protection suites.
Gemini AI will now be accessible in Threat Intelligence and Google Security Operations ( Figure B). Beginning at the end of April, Gemini will be able to assist with studies in Chronicle Enterprise and Chronicle Enterprise Plus. Safety analysts can speak to Mandiant risk intelligence application in Gemini as of April 9 through natural language.
Find B ,
Gemini in Security Command Center benefited from a boost, and as of April 9 the AI features in preview can summarize alerts and attack paths and look for threats based on natural language prompts.
In a Google Cloud press release, Ronald Smalley, senior vice president of Cybersecurity Operations at Fiserv, said that security analysts can quickly find answers with intelligent summarization and natural language search.” Detection engineers can create detections and playbooks with less effort. ” This is critical as SOC teams continue to manage increasing data volumes and need to detect, validate, and respond to events faster”.
In Google Cloud’s security services, Gemini Cloud Assist will now include the following AI-powered features in the future:
- recommendations for improved IAM posture for identity and access management.
- Assistance with encryption key creation.
- suggestions for putting in place confidential computing protection.
Create videos using AI and more in the newest Google Workspace features
Google Vids, a new Workspace platform that generative AI can use to assist employees in making promotional or educational videos, was unveiled by Google ( Figure C ).
Figure C ,
First, Google Vids will create a storyboard the user can customize. Google Vids can then create the video and add voiceover using pre-set AI voices or custom audio.
Google Vids will be a brand-new platform that will be used in place of Slides and Docs Sheets. In June, Workspace Labs will be able to access drones.
More Google Workspace announcements
- A monthly fee of$ 10 per user will be used to create a summarization and translation tool for AI meetings.
- The AI Security add-on, which will cost$ 10 per user per month, will provide file classification and protection.
- In Gmail, AI will enable” Polish My Draft” and” Help Me Write” tools, the latter of which can be used via voice commands on mobile.
- Google Gemini is introducing cover images in Docs and Chat.
- Vertex AI will be integrated into Google Workspace.
- HubSpot extension for Gemini for Google Workspace.
Gemini 1.5 Pro comes to Vertex AI and Data Cloud
Google made a number of changes to the Data Cloud portfolio of databases and data analytics. The largest was the inclusion of the Gemini 1.5 Pro in Vertex AI, which enables a one million token context window.
SEE: Everything you need to know about Google Cloud Platform. ( TechRepublic )  ,
Google continues to expand the integrations and capabilities of Gemini, with Gemini in Looker and Gemini in BigQuery currently in preview. Vertex AI document and audio insights, vector embeddings and matching, and other additions to BigQuery are currently available in public or private preview.
Other announcements ( in preview unless indicated otherwise ) include:
- Google Gemini in Databases.
- In-depth analysis of LangChain integration and vector support.
- Vector support, natural language support and model endpoint management for AlloyDB.
- Bigtable Data Boost’s analytics engines have workload-isolated access to the analytics engines.
- Expanded disaster recovery capabilities and less time spent maintenance ( in general availability ) in Cloud SQL.
- Support for two new persistence options in Memorystore ( in preview ) and new instance size for Memorystore ( in general availability ).
- Customer managed encryption keys in Cloud Firestore.
TPU v5p enters general availability
Google’s TPU v5p AI accelerator is now in general availability, allowing organizations to use it for AI inference and training. In addition, Google Kubernetes Engine is now supported on TPU v5p.
Advancing hypercomputing and cloud computing
Google Cloud will be working with NVIDIA hardware to power Google’s AI training infrastructure. The cloud infrastructure group’s announcements included:
- A3 Mega VMs powered by NVIDIA H100 Tensor Core GPUs for large- scale AI training, generally available in May.
- Hyperdisk ML, a new block storage service for AI inference/serving workloads, is available in preview now.
- JetStream, a throughput and memory- optimized inference engine for LLM training, is available on GitHub today.
- A service called Dynamic Workload Scheduler, which manages resources on Google Cloud and adjusts AI workloads based on computing capacity, is now available for preview.
- Duet AI for developers is now known as Gemini Code Assist.
Competitors to Google Cloud
Google has a lot of competitors in different industries due to its wide-ranging product catalog. In generative AI ecosystem and enterprise support in particular, it competes and often interoperates with Microsoft’s Copilot AI, AWS, IBM, and SAP. Particularly the Axion chip could aid Google’s entry into the market for data center chips dominated by Amazon and NVIDIA.
TechRepublic is covering Google Cloud Next ‘ 24 remotely.
