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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.

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.

insideBIGDATA 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.

insideBIGDATA Guide to How Data Analytics is Transforming Healthcare

This technology guide, “insideBIGDATA 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.

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.

Three Ways AI Can Boost Conversational Intelligence Across Your Enterprise

Artificial Intelligence can both help and scale human effort in building the conversational intelligence across the enterprise that drives successful business outcomes. In this eBook from Veritone, we will explore three common use cases of AI applied to customer conversations: (i) contact center insights – to drive improved customer interactions and call center efficiencies; (ii) […]

2022 State of Data Engineering: Emerging Challenges with Data Security & Quality

The 2022 Data Engineering Survey, from our friends over at Immuta, examined the changing landscape of data engineering and operations challenges, tools, and opportunities. The modern data engineering technology market is dynamic, driven by the tectonic shift from on-premise databases and BI tools to modern, cloud-based data platforms built on lakehouse architectures.

Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-making

The recent research included in this report from Cognizant’s Center for the Future of Work reveals what separates leaders from laggards when it comes to using data and artificial intelligence to make better decisions. The report also explores business leaders’ attitudes about using AI for decision making—but also clearly demonstrates that their actions do not yet match their optimism.