“AI-Assisted Coding: What Software Developers Need to Know”
Brought to you by ITPro Today
In this special report, AI-Assisted Coding: What Software Developers Need to Know, we break down:
What AI-assisted coding is and its potential in today’s development environment
The benefits and drawbacks for developers
How two major AI-powered code generation tools – GitHub Copilot and Amazon CodeWhisperer – compare
Four areas where AI-assisted code generation tools and platforms can help ITOps engineers
The potential licensing implications of AI-assisted coding
Take advantage of this free download to learn more!
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“Crucial Cybersecurity Skills for Today’s IT Pros”
Time to level up
Whether you’re a cybersecurity expert or an IT professional with cybersecurity responsibilities, there is always room to level up. After all, your adversaries are doing the same. To effectively defend against the increasing variety and sophistication of cyberthreats, today’s IT professionals need to possess certain technical skills, education, and experience.
Find out key roles and responsibilities of enterprise security teams and get advice on meeting new requirements created by these changes.
Download Today!
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“UK Bank leads the way toward proactive Cyber Defense”
If you’re tired of relentless attacks on your organization and want to be more proactive in defending against bad actors, keep reading!
Discover how a leading UK retail banking organization achieved better visibility and intelligence into adversary infrastructure with Pure Signal™ Recon.
Learn how they stopped attacks in their tracks and protected their business partners, all while staying ahead of the ever-evolving threat landscape.
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“Fire Up Your B2B Revenue Generation Engine”
Bringing Precision, Predictability and Performance to Customer Targeting, Outreach and Conversion
WHAT’S NEEDED TO LAND + EXPAND IN STRATEGIC ACCOUNTS
Seeding and harvesting the sales pipeline — the process of acquiring, capturing, qualifying and converting business opportunities — is essential to the growth and profitability of B2B marketers across every industry and geographic sector. Customer demand generation is a mission-critical process in which companies invest heavily, but generally, are dissatisfied with the results. Put positively, it is a business process ripe for performance improvement.
Lead leveraging through integrated marketing and sales execution represents an essential but under-managed discipline in today’s commercial enterprise. Top executives, as well as sales, marketing and channel management professionals, are dissatisfied with the effectiveness with which they acquire new customers, as measured by either close rates or return on investment across the selling cycle.
While they consider new customer acquisition to be essential to the growth of their companies, few have implemented formal processes or standards to optimize results, return and compliance. One might surmise that the lack of formal processes is based less on a desire to improve business performance and more on a lack of understanding about how to formalize, measure and improve those processes.
TAKING BETTER AIM WITH INTENTION INSIGHT DATA The CMO
Council is advocating an updated model for smarter buyer insight and intention-based strategies and approaches in the rapidly emerging account-based marketing field. The CMO Council has teamed with WM America on a thought leadership initiative to advance lead revenue science practices through a certified.
Lead Evaluation and Assurance Process, or LEAP. It covers new AI-driven systems, resources, content, channels, and platforms for improving prospect harvesting, conversion, and yield, particularly in the B2B technology sector. In today’s competitive data-driven environment, marketers should no longer be satisfied with paltry returns on their sizable lead-gen and ABM investments. There’s an opportunity to improve predictability and performance. It’s time to turn the tables on inefficient, ineffective and outdated practices for anticipating, adapting and responding to customer needs and opportunities.
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“Kubernetes Cookbook – Building cloud native applications”
The Kubernetes Cookbook is a detailed guide for those eager to harness the power of Kubernetes.
Whether you’re a beginner or an expert, this book offers unparalleled insights, bringing together knowledge from global cloud veterans with decades of experience.
Discover comprehensive guidance on cloud architecture analytics, optimization, governance, and dive deep into specialized topics such as Kubernetes and Artificial Intelligence (AI).
Download now and start redefining your cloud journey.
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“Why Tax and IT Need to Work Together When Connecting a Tax Engine to an ERP System”
The benefits of collaboration, cooperation, and partnership.
Aligning the ERP landscape provides momentum for the tax department to optimize the company’s tax determination processes, while IT can accomplish standardization and eliminate numerous tax customizations across their ERP instances.
The challenge for the tax department though, is to convince the IT department that moving to a 3rd party tax engine instead of native ERP tax calculation is the best solution, both from a tax and an IT perspective. This eBook is your guide to navigating through:
Why Tax and IT need to work together
The Tax department’s biggest challenges
Why a tax engine is the solution
The IT department’s biggest challenges
Why Vertex
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“Data + AI in the real world”
Discover emerging trends in adoption and strategy.
We’re in the golden age of data and AI. The unparalleled pace of AI discoveries, model improvements and new products on the market puts data and AI strategy at the top of conversations across every organization around the world. The next generation of winning companies and executives will be those who understand and leverage AI.
In our inaugural report, State of Data + AI, we examine trends in data and AI adoption across more than 9,000 global Databricks customers. The goal of this report is to help data leaders and executives understand the AI landscape and benchmark their own data investments and strategies.
State of Data + AI covers the broader data estate to answer questions such as:
How are organizations applying data science and ML in the real world?
Which data and AI products are currently the most popular and which are quickly rising to the top?
How are organizations executing their data warehousing, especially within this new age of AI?
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“Bringing breakthrough data intelligence to industries”
Gen AI for All: Empowering Every Role Across Industries
The new frontier of data intelligence is here. As more companies pursue industry-changing transformations, they face the same monumental challenge: how to democratize data and AI.
In this new report from MIT Tech Review Insights, 600 CIOs and senior tech executives from the world’s most innovative companies share their journeys to data intelligence. Learn the strategies — as well as the struggles — of top leaders at Walmart, Morgan Stanley, AT&T and more. You’ll also get insights from Databricks Co-founder and SVP of Field Engineering Arsalan Tavakoli.
Highlights:
How industries will be transformed by democratizing data and AI
Why generative AI and the data platform are critical to driving results (and how to bring them together)
How to identify, operationalize and govern generative AI use cases for each industry
Why governance and sharing across industry data ecosystems provide the foundation of AI-led growth
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“Data Center Sustainability: Green Solutions for the Future”
Tech companies big and small are turning their attention toward designing a more efficient, environmentally friendly, and sustainable data center
In this report, Data Center Sustainability: Green Solutions for the Future, you’ll learn the recent history of data center sustainability, the impact of recent green legislation, the technologies powering the data centers of tomorrow and new, sustainable strategies for constructing and repurposing your data center today.
Our guide begins with an alarming fact: the data center industry currently accounts for approximately 1% of the planet’s power consumption.
Download now to continue reading!
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“Building a High-Performance Data and AI Organization”
Every organization today recognizes the strategic value of generating actionable insights from their enterprise data. That’s why data-driven companies are deploying increasingly advanced cloud-based technologies, including analytics tools with machine learning capabilities – but they’re still hamstrung by a lack of abundant, easily accessible, high-quality data.
Dig in further to see how leading organizations are grappling with their data challenges. Read the full MIT Technology Review Insights report to get visibility into the findings from a global survey of more than 350 CDOs, CIOs, and CTOs from over 14 different industry sectors.
You will get further access to valuable insights such as:
Why only 13% of organizations are currently delivering on their data strategy
Why open standards are the primary requirement for future data architecture strategies
Why data leaders prioritize the democratization of analytics and machine learning
Why over half of respondents said they’re struggling to scale ML use cases
