When it comes to geospatial data, BigQuery can help you store and analyze it, while Tableau can provide powerful visualization capabilities.

There's no denying that OpenAI's remarkable artificial intelligence applications (ChatGPT and DALL-E) have captured the zeitgeist and hurled the topic of Generative AI into every company boardroom. Conversations range from apocalyptic hand-wringing to blissful ignorance. I wonder if ChatGPT will single-handedly save the chatbot industry, or is this just another tech fad that will quickly wither and die?

Machine Learning (ML) is at the heart of the boom in AI Applications, revolutionizing various domains. From powering intelligent Large Language Model (LLM) based chatbots like ChatGPT and Bard, to enabling text-to-AI image generators like Stable Diffusion, ML continues to drive innovation. Its transformative impact advances multiple fields from genetics to medicine to finance. Without exaggeration, ML has the potential to profoundly change lives, if it hasn’t already.

From electronic medical records and monitoring devices, to personalized medicine and real-time decision-making, data is critical at every turn within modern healthcare. However, the sheer volume and complexity of healthcare data is posing increasing challenges on medical centers and professionals.

In today’s rapidly evolving digital landscape, businesses face numerous challenges when it comes to data management and protection. Defining effective backup, disaster recovery (DR), and business continuity objectives in particular, stand out as crucial. At Hitachi Vantara, we understand the importance of ensuring data resilience and uninterrupted operations for businesses that have embraced or are considering cloud or hybrid-cloud architectures.

LONDON, UNITED KINGDOM, August 14, 2023 - Global analytics software provider Yellowfin has announced a new strategic partnership with Incorvus, a leading digital metamorphosis consultancy in technology solutions and corporate training, to provide the next generation of self-service, AI-enabled, analytics to its customers and democratise data usage for more & non-technical users.

Read about how BigQuery now allows you to use manifest files for querying open table formats.

The data landscape is constantly evolving, and with it come new challenges and opportunities for data teams. While generative AI and large language models (LLMs) seem to be all everyone is talking about, they are just the latest manifestation of a trend that has been evolving over the past several years: organizations tapping into petabyte-scale data volumes and running increasingly massive data pipelines to deliver ever more data analytics projects and AI/ML models.

Google recently introduced significant changes to its existing BigQuery pricing models, affecting both compute and storage. They announced the end of sale for flat-rate and flex slots for all BigQuery customers not currently in a contract. Google announced an increase to the price of on-demand analysis by 25% across all regions, starting on July 5, 2023.

Data is a powerful force that can generate business value with immense potential for businesses and organizations across industries. Leveraging data and analytics has become a critical factor for successful digital transformation that can accelerate revenue growth and AI innovation.