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An Enterprise Data Strategy for Building the Trustworthy AI Practice

Analytics Vidhya

The post An Enterprise Data Strategy for Building the Trustworthy AI Practice appeared first on Analytics Vidhya. Since the last decade, as data science and AI have started appearing in the mainstream production environment, the collection and maintenance of massive […].

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10 most in-demand enterprise IT skills

CIO Business Intelligence

The software and services an organization chooses to fuel the enterprise can make or break its overall success. Here are the 10 enterprise technology skills that are the most in-demand right now and how stiff the competition may be based on the number of available candidates with resume skills listings to match.

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AI in the C-suite: Using AI to shape business strategy

CIO Business Intelligence

AI-driven decision-making transforming the c-suite Bret Greenstein, PwC’s data and AI leader, is an expert on enterprise AI working with numerous executives to integrate AI operationally. Lazarev agrees: “It’s one thing to have the technology, but it’s another to weave it into the fabric of your business strategy.

Strategy 128
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Steps taken to build Sevita’s first enterprise data platform

CIO Business Intelligence

You ’re building an enterprise data platform for the first time in Sevita’s history. We had plenty of reporting, but very little data insight, and no real semblance of a data strategy. We knew we had to bring the data together in an enterprise data platform. What’s driving this investment? We thought about change in two ways.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

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CIOs face mounting pressure as AI costs and complexities threaten enterprise value

CIO Business Intelligence

In a survey of 451 senior technology executives conducted by Gartner in mid-2024, a striking 57% of CIOs reported being tasked with leading AI strategies. However, unlocking the full value of AI remains elusive, with four critical challenges standing in their way.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? That is: (1) What is it you want to do and where does it fit within the context of your organization?

Strategy 290
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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations. Key questions for executives and leaders to answer about their AI strategy. Aligning AI to your business objectives.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources.

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Enterprise ABM Marketing Tools: A Marketers Guide

Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality?

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.

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Future-Proofing Your Information Governance Strategy

Speaker: Crystal Cao, Lindsey Simon & Lisa Ripley

Join Onna and experts from Quip, Airbnb, and Oracle for this live webinar as they dive into proactive data deletion policies, retention strategies, and legal hold practices that are essential to a modern enterprise information governance strategy. What data retention policies are in line with a defensible disposition strategy.

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Successful Change Management with Enterprise Risk Management

Speaker: William Hord, Vice President of ERM Services

Your ERM program generally assesses and maintains detailed information related to strategy, operations, and the remediation plans needed to mitigate the impact on the organization. Organize ERM strategy, operations, and data. It is the tangents of this data that are vital to a successful change management process.

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The Resurgence of Direct Mail as a Growth Marketing Strategy

Speaker: Jeff Tarran, COO, Gunderson Direct & Margaret Pepe, Executive Director of Product Management, U.S. Postal Service

Industry veterans Jeff Tarran and Margaret Pepe are here to delve into how direct mail has completely evolved in recent years, and has rightfully earned a seat at the table alongside the email and digital marketing plans of SMBs, enterprise companies, and agencies as they look into strategy for 2024 and beyond.

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How to Solve 4 Common Challenges of Legacy Information Management

Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo

After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Strategies to avoid the risks of modernization by future-proofing your organizational infrastructure. You'll come away from the webinar understanding: Why ECM still poses business challenges.