PlayStation isn't just the Best Place to Play -- it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

Bob van Luijt is CEO of SeMI Technologies the company behind the open-source vector search engine Weaviate. A new ecosystem of smaller companies is ushering in a "third wave" of AI-first database technology. New search engines and databases brilliantly answer queries posed in natural language, but their machine-learning models are not limited to text searches. The same approach can also be used to search anything from images to DNA. Much of the software involved is open source, so it functions transparently and users can customize it to meet their specific needs.

Explore the 6 most sought-after tech career skills by widely known tech companies. As tech involves, so are the skills needed by employers. For tech professionals, there's this constant pressure as well as the need to keep up with emerging technologies in addition to the growing demand for some most sought-after tech skills. Tech is like change, it's constant but that doesn't make it easy for organizations to manage its numerous moving parts. One obvious constant in the technology industry is its rapid rate of change.

If you are ready to unleash your potential, it's time to start your career with Manulife/John Hancock. Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers.

In an industry that is experiencing a steady rate of job creation, data science itself has moved from just a buzzword to a strategic component in organisations. In addition to this, data scientists are increasingly taking on more strategic roles as organisations employ a product-centric view of data. It is a field that promises tremendous job growth and higher earning potential. Our latest research posits 97,000 jobs are available in this buzzing field. On the hiring end, there is a significant overall growth in jobs in the field.

"Big data" grows bigger every year, but today's enterprise leaders don't only need to manage larger volumes of data, but they critically need to generate insight from their existing data. Businesses need to stop merely collecting data points, and start connecting them. In other words, the relationships between data points matter almost more than the individual points themselves. In order to leverage those data relationships, your organization needs a database technology that stores relationship information as a first-class entity. That technology is a graph database. While traditional relational databases have served the industry well in the past in enabling service and process models that tread upon these complexities, in most deployments they still demand significant overhead and expert levels of administration to adapt to change. Relational databases require cumbersome indexing when faced with the non-hierarchic relationships that are becoming yet more persistent in complex IT ecosystems, with partners and/or suppliers and service providers, as well as more dynamic infrastructures associated with cloud and agile. Unlike relational databases, graph databases are designed to store interconnected data that's not purely hierarchic, make it easier to make sense of that data by not forcing intermediate indexing at every turn, and also making it easier to evolve models of real-world infrastructures, business services, social relationships, or business behaviors that are both fluid and multi-dimensional.

Induction and deduction are two opposite operations in data-mining applications. Induction extracts knowledge in the form of, say, rules or decision trees from existing data, and deduction applies induction results to interpret new data. It starts with existing database technology and performs both induction and deduction. The integration of database technology, induction (from machine learning), and deduction (from knowledge-based systems) plays a key role in the construction of ILDB systems, as does the design of efficient induction and deduction algorithms. This article presents a system structure for ILDB systems and discusses practical issues for ILDB applications, such as instance selection and structured induction.

Security has been dealing with big data (variety, velocity, and volume) since 1996 – we just didn't call it that back then. We have been trying to apply anomaly detection to (network) security data for a long time. Interestingly enough, we are still dealing with a lot of the same issues as we had back then; one of them is having access to good training data. We have been talking about security visualization for a long time. The first VizSec conference was held back in 2004.

Franz Inc., in partnership with Montefiore Health System, is bringing the data lake to health IT using Franz's semantic graph database technology. Until its venture into the healthcare and pharmaceutical industries over the past few years, the 31-year-old Oakland, Calif., company had done business mainly in the worlds of national defense and intelligence, into which it sold its artificial intelligence-based triple store database that uses semantic, instead of relational, database technology. The system Franz has adapted for health IT, with partners such as Montefiore in the Bronx, N.Y., is based on AllegroGraph, one of its flagship products. Montefiore is using the system, called the Semantic Data Lake for Healthcare, to perform sophisticated predictive analytics in a quest to improve patient care and lower hospital costs. AllegroGraph uses the resource description framework (RDF) standard known as a "triple" to process and represent data semantically, and graph visualization software for visual discovery.

Charles William "Charlie" Bachman, the "father of databases" who received the ACM A.M. Turing Award for 1973 for creating the first database management system, died June 13 at the age of 92. Born in Manhattan, KS, in 1924, Bachman earned his B.S. in mechanical engineering in 1948, as well as an M.S. in mechanical engineering from the University of Pennsylvania. He went to work for Dow Chemical in 1950, using mechanical punched-card computing devices to solve networks of simultaneous equations representing data from Dow plants. In 1957, Bachman became head of Dow's Data Processing Department, through which he became a member of Share Inc., and a founding member of the Share Data Processing Committee. In 1960, Bachman joined the General Electric (GE) Production Control Services Group in New York City, using a factory in Philadelphia to test designs for a system to automate factory planning, scheduling, operational control, and inventory control.