Database Scientist

  The Oxford Drug Discovery Institute is using artificial intelligence and ‘knowledge graphs’ to sift through vast amounts of biomedical data, potentially leading to faster treatments Researchers studying Alzheimer’s disease are using artificial intelligence-powered databases to accelerate the drug discovery process by making it easier to sift through vast amounts of biomedical data. By using those technologies, scientists at the United Kingdom’s Oxford Drug Discovery Institute can speed up the work of digging through journals and databases by nearly ten times—helping to more quickly prioritize which genes or proteins should be selected for further work to generate potential Alzheimer’s drugs, it said. Biologists at the Oxford Drug Discovery Institute had selected 54 genes from a genome-wide association study that were related to the immune system, all of which are likely targets for lab testing, said Emma Mead, its chief scientific officer. Those targets can include biologica...

     Data bricks debuts Lake base, a server less Postgres database for AI-driven apps, redefining operational data management for the modern enterprise. Channel Insider content and product recommendations are editorially independent. We may make money when you click on links to our partners. View our editorial policy here. Just weeks after announcing its acquisition of server less Postgres startup Neon for approximately $1 billion, Data bricks has wasted no time putting that technology to work. The company has launched Data bricks Lake base at their Data and AI Summit this week. The database represents what the company is calling an entirely new category of operational databases designed specifically for building intelligent applications. It seems as though Data bricks is making a play to move beyond its analytics roots and take on the big database players like Oracle, Snowflake, Amazon, and Microsoft on their own turf. Of course, Data bricks insists that ...

  Starting today,   AWS Database Migration Service Schema Conversion (AWS DMS SC)   introduces a new capability to improve the database schema conversion experience by automatically converting up to 90 percent of schema objects from commercial databases to   PostgreSQL   migrations. AWS DMS  is a cloud service that makes it possible to migrate relational databases, data warehouses, NoSQL databases, and other types of data stores . You can use  AWS DMS  to migrate your data into the Amazon Web Services (AWS) Cloud or between combinations of cloud and on-premises setups. Today, more than 1 million databases have been migrated using AWS Database Migration Service.  AWS DMS  helps you migrate your data from one database system to another . And, when migrating between different database engines, AWS DMS SC helps to convert the source database schema and procedures to the target database system. Generative AI–assisted code conversion...

  The US Food and Drug Administration (FDA) should establish a public database of medical device labels that is accessible to patients, healthcare providers, and consumers. This database would help physicians make informed decisions, allow researchers to study the safety of devices, and better protect manufacturers from enforcement actions, experts said in a recent viewpoint article published in  JAMA . This lack of labeling deprives the public of a valuable resource that could “improve decision-making, innovation, and public health,” wrote David Simon, a law professor at Northeastern University and co-director of the Amy J. Reed Collaborative for Medical Device Safety in Boston, and colleagues. The authors note that centralizing the information could improve physicians’ decision-making about which device to choose for patients. According to the authors, physicians report “limited knowledge about the device review process.”   It would also empower consumers to make bett...

  Poor data quality, weak governance, or fragmented oversight can derail even the most ambitious AI initiatives. In this context, the role of the Database Administrator (DBA) is becoming more strategic and more central to enterprise AI readiness. Here are four key strategies to manage your database environment and prepare your enterprise for successful AI adoption. Build Data Governance Around AI Readiness Strong governance is non-negotiable in any data-driven organization, and it’s especially vital when AI enters the picture. AI is only as good as the data that fuels it. That means clearly defined ownership, strict access protocols, data quality measures and robust lifecycle management are foundational to success.  Treat Auditing and Monitoring as Continuous Processes One-time audits no longer cut it, especially when real-time decisions are being made by AI systems that rely on ever-changing data . Continuous auditing, powered by data observability tools, helps ensure your d...

  The open-source server, currently in public beta, is also compatible with LangChain — a modular framework for Python and JavaScript that simplifies the development of generative AI-based applications. Google’s cloud computing division, Google Cloud, has added a new generative AI Toolbox for Databases to help enterprise developers connect agent-based generative AI applications to its databases. The new  Toolbox , which is currently in public beta, is an open-source server designed to streamline the creation, deployment, and management of  AI agents  capable of querying databases. The new Gen AI Toolbox for Databases was developed to improve how generative AI tools interact with data and to address common challenges in generative AI tool management. “Current approaches to tool integration often require extensive, repetitive code and modifications across multiple locations for each tool. This complexity hinders consistency, especially when tools are shared across mult...

According to its website, Palantir makes "products for human-driven analysis of real-world data." On May 30, 2025,  The New York Times published an article   titled "Trump Taps Palantir to Compile Data on Americans," detailing a supposed combined effort between the U.S. federal government and the data software company Palantir to centralize data on American citizens. Data privacy advocates did not take the news well, calling it "dystopian" and a massive invasion of privacy. Four days later, Palantir posted a statement to X responding to the article, calling the reporting " blatantly untrue" because "Palantir never collects data to unlawfully surveil Americans, and our Foundry platform employs granular security protections." On June 9, 2025, the company followed up with a long blog post on X titled " Correcting the Record: Responses to the May 30, 2025 New York Times Article on Palantir," which aimed to fact-check the article....

  Automated programs gathering training data for artificial-intelligence tools are overwhelming academic websites. In February, the online image repository DiscoverLife, which contains nearly three million photographs of different species, started to receive millions of hits to its website every day — a much higher volume than normal . At times, this spike in traffic was so high that it   slowed the site down   to the point that it became unusable. The culprit? Bots. These automated programs, which attempt to ‘scrape’ large amounts of content from websites, are increasingly becoming a headache for scholarly publishers and researchers who run sites hosting journal papers, databases and other resources. volume of requests” to access a website, “which is causing strain on their systems. It costs money and causes disruption to genuine users.” A flood of bots Internet bots have been around for decades, and some have been useful. For example, Google and other search engin...