In this 2022 industry report sponsored by Veritone, we take a look at the future of unstructured data processing (UDP). With the emergence of AI-enabled UDP technology organizations of all types and sizes can now transform this “dark” data into powerful strategic assets.
How automation gets finance workloads back in balance
How can finance teams lighten the workload and take their rightful place advising on business strategies and best practices? Automation can help. Software robots are ideally suited for transaction processing, accounting operations, and compliance work. It’s time for finance teams to do more of what they were meant to do: help the entire business be better. In this eBook from UiPath we’ll take a quick look at how automation can make that happen.
insideAI News Guide to Energy
This special technology guide from Dell Technologies and AMD will: take a closer look at some of the biggest disruptors affecting energy companies, and also examine how big data analytics can help these firms reduce risk, drive down costs, and improve efficiency.
Synthetic Behavioral Data for Analytics
In this compelling white paper, “Synthetic Behavioral Data for Analytics,” MOSTLY AI makes the case for Synthetic Behavioral Data. MOSTLY AI is the leading synthetic data company globally. Its platform enables enterprises across industries to unlock, share, fix and simulate data.
The Path to AI Maturity
In late 2021, LXT commissioned a survey of 200 senior executives (two-thirds C-Suite) with artificial intelligence (AI) experience at mid-to-large US organizations. The goal of the research was to understand the current status of AI maturity in organizations overall, and the unique characteristics of organizations based on their AI maturity phase.
insideAI News Guide to Government
This white paper from Dell Technologies and AMD examines big data analytics projects in government and recommends 15 lessons government agencies can learn. Big data is big business, particularly in the government sector. According to market researchers at IDC, worldwide spending on big data and business analytics solutions grew 10.1% in 2021 to total an estimated $215.7 billion. And a lot of that spending came from the public sector as the government was among the top six industries for overall expenditures related to big data analytics.
10 Must-Have Capabilities of an Enterprise AI Platform
With the ten must-have capabilities of an Enterprise AI platform outlined in this paper from Veritone, organizations can position themselves for rapid adoption of AI and ML at scale without requiring custom “from-scratch” model development, extensive AI expertise, or single-model dependency.
insideAI News Guide to How Data Analytics is Transforming Healthcare
This technology guide, “insideAI News Guide to How Data Analytics is Transforming Healthcare,” sponsored by Dell Technologies, provides an overview of some of the trends influencing big data in healthcare, the potential benefits, likely challenges, and recommended next steps.
insideAI News Guide to Computer Aided Engineering
The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.
Balancing MLOps Innovation with Tough Security Standards
As AI adoption has grown, so too have concerns about data protection and infrastructure security across the MLOps lifecycle. At GTS Data Processing, a rapidly growing German IT company, security is top of mind as they deliver Infrastructure-as-a-Service and Software-as-a-Service platforms to companies across Europe. GTS’ DSready Cloud offering, powered by Domino® and hosted in Germany, brings together the tools, technologies, compute, and
collaboration capabilities its clients need to deliver and manage data science capabilities at scale—all within a GDPR-compliant environment that supports Germany’s stringent security
standards.