Anomalo declared that it has broadened its collaboration with Google Cloud and placed its platform on the Google Cloud Marketplace, enabling customers to use their allotted Google Cloud spend to buy Anomalo right away. Without requiring them to write code, define thresholds, or configure rules, Anomalo gives businesses a method to keep an eye on the quality of data being handled or stored in Google Cloud’s BigQuery, AlloyDB, and Dataplex.

GenAI and machine learning (ML) models are being built and operationalized at scale by modern data-powered enterprises, who are also utilizing their centralized data to perform real-time, predictive analytics. That being said, the quality of the data that drives dashboards and production models determines their overall quality. One regrettable reality that many data-driven businesses soon come to terms with is that a large portion of their data is either , outdated, corrupt, or prone to unintentional and unwanted modifications. Because of this, businesses end up devoting more effort to fixing problems with their data than to realizing the potential of that data.

GenAI and machine learning (ML) models are being built and operationalized at scale by modern data-powered enterprises, who are also utilizing their centralized data to perform real-time, predictive analytics. That being said, the quality of the data that drives dashboards and production models determines their overall quality. A prevalent issue faced by numerous data-driven organizations is that a significant portion of their data is either missing, outdated, corrupted, or prone to unanticipated and unwanted modifications. Instead of utilizing their data to its full potential, businesses wind up spending more time fixing problems with it.

Keller Williams, BuzzFeed, and Aritzia are among the joint Anomalo and Google Cloud clients. As stated by Gilad Lotan, head of data science and analytics at BuzzFeed, “Anomalo with Google Cloud’s BigQuery gives us more confidence and trust in our data so we can make decisions faster and mature BuzzFeed Inc.’s data operation.” “We can identify problems before stakeholders and data users throughout the organization even realize they exist thanks to Anomalo’s automatic detection of data quality and availability.” Thanks to BigQuery and Anomalo’s combined capabilities, it’s an excellent place for data teams to be as they transition from reactive to proactive operations.

“Our shared goal of assisting businesses in gaining confidence in the data they rely on to run their operations is closely aligned with that of Google Cloud. Our clients are using BigQuery and Dataplex to manage, track, and create data-driven applications as a result of the skyrocketing volumes of data. Co-founder and CEO of Anomalo Elliot Shmukler stated, “It was a no-brainer to bring our AI-powered data quality monitoring to Google Cloud Marketplace as a next step in this partnership, and a massive win.”

According to Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud, “bringing Anomalo to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the data quality platform on Google Cloud’s trusted, global infrastructure.” “Anomalo can now support customers on their digital transformation journeys and scale in a secure manner.”

The open-source multilingual foundation model, known as “Pragna-1B,” was released on Wednesday by the Indian artificial intelligence (AI) research company Soket AI Labs in association with Google Cloud services.

In addition to English, Bengali, Gujarati, and Hindi, the model will offer AI services in other Indian vernacular languages.

“A key factor in the Pragna-1B model’s pre-training was our collaboration with Google Cloud. Our development of Pragna-1B was both efficient and economical thanks to the utilization of Google Cloud’s AI Infrastructure. Asserting comparable performance and efficacy in language processing tasks to similar category models, Pragna-1B demonstrates unmatched inventiveness and efficiency despite having been trained on fewer parameters, according to Soket AI Labs founder Abhishek Upperwal.”

Pragna-1B, he continued, “is specifically designed for vernacular languages. It provides balanced language representation and facilitates faster and more efficient tokenization, making it ideal for organizations looking to optimize operations and enhance functionality.”

By adding Soket’s AI developer platform to the Google Cloud Marketplace and the Pragna model series to the Google Vertex AI model repository, Soket AI Labs and Google Cloud will shortly expand their partnership even further.

Developers will have a strong, efficient experience fine-tuning models thanks to this connection. According to the business, the combination of Vertex AI and TPUs’ high-performance resources with Soket’s AI Developer Platform’s user-friendly interface would provide the best possible efficiency and scalability for AI projects.

According to the firm, this partnership would also make it possible for technical teams to collaborate on the fundamental tasks involved in creating high-quality datasets and training massive models for Indian languages.

“Our collaboration with Soket AI Labs to democratize AI innovation in India makes us very happy.” Pragna-1B, which was developed on Google Cloud, represents a groundbreaking advancement in Indian language technology and provides businesses with improved scalability and efficiency, according to Bikram Singh Bedi, Vice President and Country Managing Director, Google Cloud India.

Since its founding in 2019, Soket has changed its focus from being a decentralized data exchange for smart cities to an artificial intelligence research company.

New artificial intelligence (AI) products, including chat and search functions as well as AI hardware for cloud users, have been added to Google’s Gemini AI following a significant update.

Even if certain features are still in beta or only available to developers, they provide valuable information about Google’s artificial intelligence approach and sources of income.

With the goal of making AI more accessible to all, Google CEO Sundar Pichai kicked off the company’s annual I/O developer conference on Tuesday with a keynote address that focused on Gemini, the company’s advanced AI model, which was recently upgraded to Gemini 1.5 Pro. Gemini powers important services like Android, Photos, Workspace, and Search.

Google Gemini AI: Enhanced Functionalities

1. The new Gemini 1.5 Pro from Google can now process significantly more data. With the ability to summarize up to 1,500 pages of text submitted by users, the application facilitates the processing of vast amounts of data.
2. Google unveiled the Gemini 1.5 Flash AI model, intended for simpler jobs like media captioning and conversation summarization. For consumers with less complex data needs, this model provides an affordable option.
3. Gemini is now accessible to developers globally in 35 languages thanks to improved translation capabilities.
4. Gemini, which Google intends to replace Google Assistant with on Android phones, might challenge Apple’s Siri on iPhones.

Additionally, Google revealed that Gemini will be able to provide Gmail with enhanced AI features. Users of Gmail will notice a new feature that lets them ask the AI chatbot to summarize particular emails in their inbox because Gemini powers Gmail. For Gmail users, this innovation promises to simplify email management and boost productivity.

Google Gemini AI: Gmail-related Features

1. Gemini can now summarize emails for users, serving as your inbox’s CliffsNotes. For instance, Gemini will provide you a summary of emails without requiring you to view them if you ask it to catch you up on correspondence from a particular sender or subject.
2. To help you swiftly comprehend crucial information from lengthy conversations, you can ask Gemini to highlight essential topics from Google Meet recordings.
3. Gemini can respond to inquiries regarding details tucked away in your communications. For example, you can ask Gemini about event details or order delivery times, and Gemini will look into those for you.

According to Google, the email summary feature will launch this month, while the other features will follow in July.