Articles

Artificial Intelligence (AI) and Machine Learning (ML) are leading edge technologies that involve using algorithms to make predictions based on large datasets, much in the way humans take action based on experience, but with far greater efficiency and at a much greater scale. Because of these qualities, AI/ML has an enormous perceived potential ttot automate a range of processes across the organization. But are IT executives adopting this innovative technology? And are their efforts coming to fruition? {{cta('f283c054-26e9-4600-9f71-650608051894')}}

Worldwide, social distancing has affected the day-to-day activities of nearly every person. In many cases, that means working from home.

G2 is constantly following the evolving B2B tech industry, especially during this uncertain time. As part of a series of articles based on a recent survey we conducted, G2 analysts have highlighted some key issues and statistics about what small business employees are facing while working from home, along with possible tools and courses of action everyone can take away.

Business intelligence (BI) is making a significant impact across industries by helping organizations use data to make better decisions and improve operations.

Hybrid environments with clouds and on-premise systems make information technology (IT) delivery challenging.Organizations with multiple lines of businesses (LOBs) use multiple disparate software-as-a-service (SaaS) applications on top of existing legacy systems. These new applications become part of the IT ecosystem with little involvement from the internal IT team. As a result, businesses suffer from security issues and a lack of data intelligence. The way forward for these enterprises with a hybrid SaaS and on-premise applications lies in simplifying application integration. Businesses must adopt an integration platform as a service (iPaaS) software to aggregate, integrate, and manage cloud and non-cloud services reliably. iPaaS systems enable organizations to unify applications, integrate cloud data, manage application programming interfaces (APIs), automate workflows, and visualize business intelligence.

Sales wants more leads, and it’s your job to deliver them. Now what?