article thumbnail

Cryptocurrency Investing Python Strategy

Analytics Vidhya

Introduction Investing Strategies are essential since they determine whether you gain or lose money. Investing strategies vary depending on the investor’s risk appetite and goals (long term or short term). The post Cryptocurrency Investing Python Strategy appeared first on Analytics Vidhya.

Strategy 353
article thumbnail

Risk Management for AI Chatbots

O'Reilly on Data

Welcome to your company’s new AI risk management nightmare. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward. The core idea of risk management is that you don’t win by saying “no” to everything. So, what do you do? I’ll share some ideas for mitigation.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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
article thumbnail

To understand the risks posed by AI, follow the money

O'Reilly on Data

It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. However, there is one class of AI risk that is generally knowable in advance. It is a predictable economic risk.

Risk 226
article thumbnail

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.

article thumbnail

12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

We discussed already some of these cloud computing challenges when comparing cloud vs on premise BI strategies. This increases the risks that can arise during the implementation or management process. The risks of cloud computing have become a reality for every organization, be it small or large. Cost management and containment.

Risk 237
article thumbnail

It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose. Lack of oversight establishes a different kind of risk, with shadow IT posing significant security threats to organisations. Strong data strategies de-risk AI adoption, removing barriers to performance.

Risk 107
article thumbnail

Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

How to make the right architectural choices given particular application patterns and risks. The session will cover a lot of ground, including: An overview of Containers and Serverless technologies with a focus on key differences. Tradeoffs and key considerations for when to leverage Containers or Serverless.

article thumbnail

Everything You Need to Know About Crypto

Speaker: Ryan McInerny, CAMS, FRM, MSBA - Principal, Product Strategy

With 20% of Americans owning cryptocurrencies, speaking "fluent crypto" in the financial sector ensures you are prepared to discuss growth and risk management strategies when the topic arises. May 18th, 2023 at 9:30 am PDT, 12:30 pm EDT, 5:30 pm BST

article thumbnail

Put Your Data to Work: The Complete Playbook

They rely on data to power products, business insights, and marketing strategy. From search engines to navigation systems, data is used to fuel products, manage risk, inform business strategy, create competitive analysis reports, provide direct marketing services, and much more.

article thumbnail

The Unexpected Cost of Data Copies

Unfortunately, data replication, transformation, and movement can result in longer time to insight, reduced efficiency, elevated costs, and increased security and compliance risk. What to consider when implementing a "no-copy" data strategy. How replicated data increases costs and impacts the bottom line.

article thumbnail

Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap. Understand how your work contributes to your company's strategy and learn to apply frameworks to ensure your features solve user problems that drive business impact.

article thumbnail

How to Solve 4 Common Challenges of Legacy Information Management

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

Strategies to avoid the risks of modernization by future-proofing your organizational infrastructure. He will share compelling stories from customers that have chosen a different path, and best practices for Information Management professionals to help them along their way. February 27, 2020 9:30AM PST, 12:30PM EST, 5:30PM GMT.

article thumbnail

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

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.