Peer-Driven Insights

Data & Analytics

About this topic

Data and analytics refers to the management of data for all uses (operational and analytical) and the analysis of data to drive business processes and improve business outcomes.

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Community Posts

We are in the early stages of looking at the DataBricks solution. Databricks mentioned that for some components they have a Managed Service (branded Serverless Option). 1. SQL Warehouses 2. Jobs Compute (Workflows) 3. Notebooks / Interactive Workbooks 4. Model Serving

I wondered if anyone had looked at the pros and cons of hosting these services on their own cloud platform vs going for the Databricks hosted / managed option and any insights?

Is AGI already here—and are we just afraid to admit it?

Yes—we've already passed the AGI line, but we keep redefining it.16%

Almost—these systems feel general, but something's still missing.46%

No—AGI must be autonomous, embodied, or conscious. We're not there.27%

It doesn’t matter—what we have now is disruptive enough.8%

The term AGI is a distraction. Focus on outcomes, not labels.2%

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Which Zero Trust solutions are most effective at protecting data at the enterprise level?

Within your organization, which line of business or department is most demanding of data to support customer experiences?

IT support14%

Customer service support32%

Marketing / Sales30%

Operations / Distribution14%

Human Resources7%

Legal

Other (comment below)

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Who has worked on a contract renewal with Ab Initio and what challenges did you find and how did you overcome them? We have an old contract with productivity clauses that state if we improve how we run reports they can charge us more.

Where does open source fit into third-party/supply chain risk?

What are some of the biggest ethical dilemmas facing AI? https://www.cio.com/article/3439758/confronting-ai-s-ethical-dilemmas.html

What web crawlers or web scraping tools have you found to be most effective?

We use Microsoft PowerBI extensively at the company. Over 15,000 reports.
For our "corporate" reports, like financials or HR, we centralize those requests and attend them with my team.
We currently "extract" information from multiple systems (ie. SAP, SuccessFactors, CRM, etc...) and put in into a SQL Analysis Services. For interpreting the data we have a Semantics model in PBI.
The problem I see is we can't scale enough to comply with the reporting demands as the semantic model is "unique" and we end up having only one or two developers that can work at a time.
Anyone has an idea how to scale their PBI teams without having to redevelop the semantic model per report?

What do we think would be the impact of Salesforce acquiring Informatica especially if you are not using Salesforce stack? Will Salesforce alter the roadmap of Informatica modules like MDM? Would it be a risk to evaluate Informatica modules for data management if you are SAP stack?

Enterprise, SME Data backups

Rubrik16%

Cohesity20%

Commvault22%

DELL EMC30%

HP6%

IBM4%

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As we see the news on Sam Altman leaving OpenAI and the explanation of his exit, I wanted to tap into this community's power to understand your reading on this decision. What do you think?

Are we on the road to enabling better data protection and privacy regulations for private enterprise organizations?

What are some great tools or suggestions that has the capability to analyze complex SQL queries and extract or summaries the table structure embedded in a query?

Should we rely on Machine Learning for Security Practices?

We observed Microsoft Fabric is a emerging data platform in the Market. Can you recommend any comparisons done between Microsoft Fabric and other data platform product in AWS, Databricks or Google?