In-house legal departments have long been resistant to and risk-averse about automation, but the effects of the pandemic forced many to shift gears in 2020 and pursue — or at least actively consider — more extensive automation of certain legal activities, especially those around major corporate transactions.
Most finance teams now use RPA to drive efficiencies , but RPA can only automate simple, repeatable tasks; it can’t automate the complex processes and workflows needed to improve business agility and efficacy. Adding AI-powered technologies and tools offers the next level of automation for finance, but CFOs must identify the most appropriate use cases .
Microsoft already has two vertical ‘ clouds for industry ‘ for healthcare and retail; expect more. “These are the two first ones that came out but there’ll be more to come,” Takuya Hirano, Microsoft vice president for global alliances and systems integrators partners said during a recent announcement about the state of the Microsoft partner ecosystem .
As the owner of Analytics, Monetization and Growth Platforms at Yahoo, one of the core brands of Verizon Media, I’m entrusted to make sure that any solution we select is fully tested across real-world scenarios. Today, we just completed a massive migration of Hadoop and enterprise data warehouse (EDW) workloads to Google Cloud’s BigQuery and Looker .
Resources hosted on Azure App Service are at the forefront as attackers are constantly on the lookout for vulnerabilities in web applications. Dormant domains are a permanent resident on the checklist of both opportunistic and target-oriented attackers.
Google Cloud and Sigfox announced that the global 0G network and IoT platform services provider, has partnered with Google Cloud, to scale its cloud infrastructure and extend its IoT services portfolio. This partnership will enable Sigfox to rapidly accelerate its “Massive IoT” agenda processing billions of messages each month from objects connected to the internet using data stored in the cloud.
There are over 600 IoT platform vendors globally right now. You have generalized IoT platforms, industrial IoT (IIoT) platforms, and manufacturing execution systems for industrial enterprises. Some vendors offer custom IoT solutions that can be adjusted to your industrial use case.
Democratization of data within an organization is essential to help users derive innovative insights for growth. In a big data environment, traceability of where the
Getting the job you want requires you to stand out to potential employers—especially in the current job market. Recently I did just that by building a conversational chatbot on Google Cloud that answers questions about my professional experience (plus some surprises).
The ability to query data and perform ad hoc analysis across multiple platforms and data stores with a single tool brings immense value to the big data analytical arena. As organizations build out data lakes with increasing volumes of data, there is a growing need to combine that data with large amounts of data in other data stores.
Software service providers offer subscription-based analytics capabilities in the cloud with Analytics as a Service (AaaS), and increasingly customers are turning to AaaS for business insights. A multi-tenant storage strategy allows the service providers to build a cost-effective architecture to meet increasing demand.
As organizations continue to embrace Linux , we see a growing number of enterprises running business and mission-critical workloads on Linux virtual machines in Azure. Azure Backup service offers application consistent backup of Linux virtual machines in Azure to safeguard against unintended destruction of data in your virtual machines.
Multi-cloud success is more about what lies between the clouds than what’s on the clouds themselves. These critical layers of software that exist between the heterogeneous mix of clouds your enterprise uses will need your full attention in the coming year
With Network Load Balancing , Google Cloud customers have a powerful tool for distributing external TCP and UDP traffic among virtual machines in a Google Cloud region. In order to make it easier for our customers to manage incoming traffic and to control how the load balancer behaves, we recently added support for backend services to Network Load Balancing.
