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Enable Amazon Bedrock cross-Region inference in multi-account environments

AWS Machine Learning

The customers AWS accounts that are allowed to use Amazon Bedrock are under an Organizational Unit (OU) called Sandbox. We want to enable the accounts under the Sandbox OU to use Anthropics Claude 3.5 Use case For our sample use case, we use Regions us-east-1 and us-west-2. Sonnet v2 model using cross-Region inference.

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Operational Challenges in the Call Center Industry

Callminer

There are numerous issues for which call center managers and leaders must account in running a successful customer support operation. Maintaining a working training protocol for your team members involves accounting for issues with comprehension and individual learning needs. Effective Customer Support Training. Innovative Challenges.

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Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. A user can ask a business- or industry-related question for ETFs. The results are similar to fine-tuning LLMs without the complexities of fine-tuning models.

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Shocking! Yahoo’s data breach

Beyond Philosophy

If you aren’t sure this is true, then ask yourself: would I open a Yahoo email account today? It’s because 500 million of Yahoo’s account users’ names, email addresses, telephone numbers, birth dates, scrambled passwords, and security questions are in the wind. Yahoo’s new email account set up is also quiet today.

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

Organizations spanning various industries are progressively utilizing data and ML to drive innovation, enhance decision-making processes, and gain a competitive advantage. However, as data volumes and complexity continue to grow, effective data governance becomes a critical challenge.

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The Revenue Revolution: Transforming Account Management Beyond Traditional Sales

Kapta Customer Success

What if your key accounts could generate twice the revenue they do today? It's not just possible it's happening for companies that have moved beyond traditional account management.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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The Top 3 Ways to Forecast for Your Contact Center

Forecasting is no easy task. It can be difficult to schedule the right amount of agents at the right time. Download our ebook to learn how to reduce overstaffing and understaffing, lower customer wait times and improve the customer experience with proper forecasting.