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AI Support Analyst specialization training

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Overview

For AI Support Analysts or professionals looking to integrate AI into their analytical roles, specialized training programs can provide comprehensive skills and practical experience. Here are two notable specializations:

  1. Generative AI for Business Intelligence (BI) Analysts Specialization (Coursera):
  • Designed for BI analysts leveraging generative AI
  • Three self-paced courses, 4-6 hours each
  • Key topics:
    • Core concepts and capabilities of generative AI
    • Prompt engineering techniques
    • Using generative AI for database querying, data visualization, and report creation
    • Hands-on labs with tools like ChatGPT and Microsoft Copilot
  1. Generative AI for Data Analysts Specialization (Coursera):
  • Focuses on building generative AI skills for data analytics
  • Suitable for data analysts with no prior AI experience
  • Program covers:
    • Generative AI prompt engineering concepts and applications
    • Identifying and using appropriate generative AI tools
    • Hands-on labs with IBM Watsonx, Prompt Lab, and other tools
    • Fundamental concepts, models, and ethical implications Key Skills and Knowledge:
  • Generating text, images, and code using generative AI
  • Applying prompt engineering techniques
  • Using generative AI for data analysis, visualization, and reporting
  • Understanding ethical considerations and challenges Hands-On Learning:
  • Both programs include practical labs and projects applying concepts to real-world scenarios Prerequisites:
  • No prior AI experience required, but background in data analytics or BI is beneficial
  • Basic knowledge of AI concepts helpful but not mandatory These specializations prepare professionals to effectively integrate generative AI into their analytical workflows, enhancing their skills and career prospects in the rapidly evolving field of AI-driven data analysis.

Leadership Team

For leadership teams aiming to leverage AI and generative AI in organizational strategies, the following specialized training programs are highly beneficial:

  1. Generative AI for Business Intelligence (BI) Analysts Specialization (Coursera):
  • Designed for professionals, including leaders, leveraging generative AI in BI
  • Covers core concepts, prompt engineering, and practical use cases
  • Includes hands-on experience with tools like ChatGPT and Microsoft Copilot
  1. AI+ Executive™ Certification (AI CERTs):
  • Tailored for business leaders and executives
  • Provides strategic insights into AI technologies and their business impact
  • Focuses on practical application through workshops and case studies
  • Covers ethical and legal considerations for responsible AI practices
  • Develops skills in AI strategy development, decision-making, and project management
  1. Generative AI Leadership & Strategy Specialization (Coursera):
  • Empowers leaders to harness the potential of large language models
  • Covers effective prompt creation, practical applications, and team integration
  • Addresses adoption anxieties and advanced prompt engineering for leadership tasks
  1. SAS Certified Professional: AI and Machine Learning:
  • Broader focus on AI and machine learning strategies
  • Covers machine learning, natural language processing, and computer vision
  • Helps leaders validate AI talent and make informed decisions about AI integration These programs offer a comprehensive approach to understanding and leveraging AI and generative AI, enabling leadership teams to:
  • Align AI initiatives with business objectives
  • Drive innovation across departments
  • Make strategic decisions using AI insights
  • Develop and implement effective AI strategies
  • Navigate ethical and legal considerations in AI adoption By completing these specialized training programs, leadership teams can position their organizations at the forefront of AI-driven innovation and competitive advantage.

History

For AI Support Analysts, several training programs and certifications provide a comprehensive foundation in artificial intelligence, machine learning, and related skills. Here are some notable options:

  1. HarvardX Professional Certificate in AI:
  • Combines CS50's Introduction to Computer Science with AI-specific courses
  • Covers programming fundamentals, data analysis, model training, and advanced algorithms
  • Includes hands-on projects for practical application
  1. CertNexus Certified Artificial Intelligence Practitioner (CAIP):
  • Comprehensive understanding of AI and ML concepts, workflows, and technologies
  • Designed for data scientists and analysts
  • Prepares learners to apply AI and ML approaches to business problems
  • Recognized by a vendor-neutral certification body
  1. Artificial Intelligence Engineer (AIE) Certification by ARTiBA:
  • Demonstrates expertise in building and deploying AI systems
  • Covers machine learning, regression, neural networks, and cognitive computing
  • Three registration tracks based on educational background and work experience
  1. MIT's Professional Certificate Program in Machine Learning and Artificial Intelligence:
  • Provides a well-rounded foundation in machine learning and AI
  • Includes courses on machine learning for big data and text processing
  • Designed for technical professionals with at least three years of experience
  1. ISACA AI Training and Resources:
  • Offers a range of AI training programs, starting with AI Essentials
  • Advanced courses available for elevating expertise and auditing AI technologies
  • Helps professionals stay ahead in the rapidly evolving AI field
  1. Google Cloud's Introduction to Generative AI Learning Path:
  • Covers generative AI and large language models
  • Particularly useful for those working with Google tools
  • Includes a section on responsible AI practices
  • Suitable for beginners with no prerequisites These programs offer diverse skills and specializations tailored to the needs of AI Support Analysts. Key benefits include:
  • Building a strong foundation in AI and ML concepts
  • Gaining practical experience through hands-on projects
  • Understanding the application of AI in business contexts
  • Exploring ethical considerations and responsible AI practices
  • Staying up-to-date with the latest AI technologies and trends By choosing the appropriate program based on their specific needs and career goals, AI Support Analysts can enhance their expertise and position themselves for success in the rapidly growing field of artificial intelligence.

Products & Solutions

For individuals interested in specializing as AI Support Analysts, several training programs and solutions can be highly beneficial:

Generative AI for Business Intelligence (BI) Analysts Specialization

This Coursera specialization is designed for BI analysts looking to leverage generative AI in their roles. It includes:

  • Core concepts and capabilities of generative AI
  • Prompt engineering techniques
  • Using generative AI for database querying, data visualization automation, and report creation
  • Hands-on labs and projects for practical experience

Generative AI for Data Analysts Specialization

Another Coursera specialization tailored for data analysts seeking to enhance their careers with generative AI skills. It covers:

  • Real-world generative AI applications and popular models/tools
  • Prompt engineering concepts and techniques
  • Practical applications in data analytics
  • Hands-on labs using IBM Watsonx and Prompt Lab

ThoughtSpot Spotter: AI Analyst

ThoughtSpot's Spotter is an AI analyst tool providing conversational insights for specific industries:

  • Advanced semantic models for business language mastery
  • Human-in-the-loop feedback for accuracy
  • Integration with enterprise dashboards and custom applications
  • Support for complex datasets and various analysis types

Qlik AI Enhanced Analytics

Qlik offers a range of AI-enhanced analytics solutions:

  • Trusted AI Data Foundation: Prepares quality-governed data for AI models
  • AI Enhanced Analytics: Delivers natural language interaction, automation, and predictive analytics
  • Self Service AI Solutions: Includes Qlik AutoML and Qlik Answers
  • Insight Advisor: Uses natural language AI for fast answers and advanced analyses These programs and solutions provide comprehensive training and tools to help analysts integrate AI effectively into their work, enhancing data analysis, visualization, and decision-making processes.

Core Technology

For AI Support Analysts, several key technologies and skills are essential:

Generative AI for IT Support

The "GenAI for Computer Support Specialists (IT Support)" course on Coursera focuses on:

  • Automating tasks and resolving issues quickly with AI assistance
  • Improving customer support with personalized service
  • Applying GenAI to basic IT support tasks
  • Strategies for responsible integration of GenAI in IT support

Generative AI in Business Intelligence and Data Analytics

Relevant specializations include:

  1. "Generative AI for Business Intelligence (BI) Analysts" (Coursera):
    • Core concepts and capabilities of generative AI
    • Prompt engineering techniques
    • Using generative AI for database querying, data visualization, and reporting
    • Practical application of tools like ChatGPT and Microsoft Copilot
  2. "Generative AI for Data Analysts" (Coursera):
    • Generative AI use cases in data analytics
    • Prompt engineering and tool identification
    • Real-world applications and hands-on experience with IBM Watsonx, Prompt Lab, and GPT

Key Technologies and Skills

  1. Prompt Engineering: Crafting effective prompts for relevant outputs
  2. Generative AI Models: Understanding GPT, DALL-E, and IBM Watson Studio
  3. Task Automation and Workflow Integration: Improving efficiency and customer support
  4. Ethical AI Deployment: Considering implications across industries

Additional Certifications

The SAS Certified Professional: AI and Machine Learning credential offers a comprehensive understanding of:

  • Machine learning
  • Natural language processing
  • Computer vision
  • Model forecasting and optimization By focusing on these areas, AI Support Analysts can develop a strong foundation in core technologies and essential skills for their role.

Industry Peers

For professionals aiming to specialize as AI Support Analysts or enhance their AI-related skills, the following training and specialization programs are beneficial:

Generative AI for Business Intelligence (BI) Analysts Specialization (Coursera)

This program covers:

  • Core concepts and capabilities of generative AI
  • Prompt engineering techniques
  • Generative AI application in database querying, data visualization, and reporting
  • Hands-on labs and practical projects

Generative AI for Data Analysts Specialization (Coursera)

This specialization focuses on:

  • Identifying real-world generative AI uses and popular models/tools
  • Prompt engineering concepts and techniques
  • Applying generative AI in data analytics workflows
  • Practical experience with IBM Watsonx and OpenAI

Level 4 AI Transformation Specialist Apprenticeship (Cambridge Spark)

This 14-month program equips professionals to:

  • Identify high-impact AI implementation opportunities
  • Manage complex AI projects
  • Lead organizational change
  • Implement ethical AI practices
  • Analyze business processes and translate user requirements into AI solutions

Key Skills and Knowledge

These programs emphasize crucial areas for AI Support Analysts:

  1. Prompt Engineering: Crafting effective prompts for optimal generative AI outcomes
  2. Generative AI Tools: Utilizing ChatGPT, Microsoft Copilot, IBM Watsonx, and OpenAI
  3. Data Analysis and Visualization: Enhancing workflows with generative AI
  4. Ethical Considerations: Understanding implications across industries
  5. Hands-on Experience: Gaining practical skills through labs and real-world scenarios By focusing on these programs and skills, industry professionals can significantly enhance their careers in AI support and related fields, leveraging the power of generative AI and other cutting-edge technologies.

More Companies

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RELEX Solutions

RELEX Solutions is a leading provider of advanced optimization software for retailers and consumer packaged goods (CPG) companies. Their unified supply chain and retail planning platform leverages AI and machine learning to streamline operations across the entire value chain. Key solutions offered by RELEX include: 1. Demand Planning: Utilizes machine learning-based forecasting for accurate demand prediction, especially for items with short shelf life or weather-driven demand. 2. Supply Chain Planning: Optimizes operations through centralized demand forecasting and data management, reducing siloed planning and improving inventory control. 3. Merchandising: Enhances sales and margins through optimized assortment and promotion planning. 4. Operations: Streamlines store operations, including workforce planning, to boost efficiency and customer service. RELEX s technology stands out for its: - AI and Machine Learning: State-of-the-art algorithms automate and optimize planning tasks with transparent, configurable outputs. - Digital Twin Modeling: Comprehensive approach to supply chain planning and business functions. - Cloud-Native Living Retail Platform: Ensures scalability, speed, and data security with easy integration through configuration. The company s customer-centric approach is evident in its 100% success rate on implementations and customer referenceability. RELEX focuses exclusively on the consumer goods value chain, translating industry expertise into their unified platform. RELEX has gained recognition for its sustainability initiatives, particularly in reducing food waste. Their solutions help customers save almost 20 million pounds of food waste annually, earning them the Best Sustainability Initiative award. The platform is designed for quick implementation and adoption, leveraging best practices from hundreds of clients to ensure rapid impact on operational efficiency. Its flexibility allows businesses to easily adapt the solution to their specific needs and processes. Overall, RELEX Solutions is renowned for its innovative, AI-driven approach to supply chain and retail planning, offering a comprehensive and adaptable platform that drives efficiency, profitability, and sustainability for its clients.

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JERA

JERA Co., Inc. is a major player in the global energy sector, particularly in Japan. Here's a comprehensive overview of the company: ### Formation and Ownership - Established in April 2015 as a 50-50 joint venture between TEPCO Fuel & Power and Chubu Electric Power Company - Merged the fuel and thermal power departments of the two parent companies ### Operations and Capacity - Japan's largest power generation company - Produces approximately 30% of Japan's electricity - Operates and manages thermal power stations previously owned by Tokyo Electric and Chubu Electric - Total output capacity of around 67 million kW, including capacity under construction ### Business Scope - Involved in the entire energy supply chain: - LNG upstream projects - Fuel procurement and transportation - Power generation - Wholesales electricity to retail electric utilities like TEPCO Energy Partner and Chubu Electric Power ### Historical Context - Created to separate thermal power generation from the nuclear sector within Tokyo Electric Power Company - Helped manage legal and fiscal responsibilities associated with the Fukushima Daiichi nuclear disaster ### Renewable Energy Initiatives - Actively investing in renewable energy for decarbonization - Announced "JERA Zero CO2 Emissions 2050" roadmap in 2020 - Established JERA Nex Limited, a global renewable energy business headquartered in London - Aims to develop 20GW of renewable capacity by 2035 ### Global Presence - Involved in various international projects and partnerships - Acquired Parkwind, Belgium's largest offshore wind platform, in July 2023 - Centers of excellence in Japan, Taiwan, the US, and Belgium ### Sustainability and Future Plans - Committed to achieving net zero CO2 emissions from domestic and overseas businesses by 2050 - Focusing on sustainable development through clean energy platform - Exploring partnerships and technologies in solar power, advanced electrolyzer technology, and renewable energy equipment optimization

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BigID

BigID is a leading platform in data security, privacy, compliance, and governance, designed to help organizations manage, protect, and derive value from their data. The platform offers comprehensive solutions across several key areas: ### Data Discovery and Intelligence - Discovers, catalogs, and classifies all types of data across various sources - Provides 360-degree visibility into personal, sensitive, and enterprise data - Supports data sources including cloud storage, data lakes, and on-premises systems ### Data Classification and Cataloging - Utilizes advanced machine learning (ML) and deep learning techniques - Employs Named Entity Recognition (NER) to uncover data relationships - Automatically catalogs and maps sensitive and personal data ### Compliance and Regulatory Management - Assists in meeting requirements for GDPR, CCPA/CPRA, and other data privacy regulations - Automates data rights fulfillment and policy management - Identifies personal data using intelligent classification ### Data Security - Offers ML-based classification, file analysis, and risk scoring - Includes applications for data classification, risk scoring, file access intelligence, and more ### Data Governance - Provides efficient, consistent, and scalable governance solutions - Offers data catalog, quality, stewardship, glossary, and metadata exchange capabilities - Enhances traditional manual data curation with ML-prompted validation ### Suites and Applications BigID offers specialized suites for different aspects of data management: - Data Privacy Suite - Data Security Suite - Data Governance Suite ### Architecture and Deployment - Operates on a flexible, agentless microservices architecture - Supports deployment in on-premises, cloud, or hybrid environments - Compatible with various data stores and types ### Additional Capabilities - Advanced cluster analysis for finding duplicate and similar files - Correlation capabilities to link disparate data points - Advanced reporting and analysis integrations BigID's comprehensive platform enables organizations to know their data, take action on it, and derive more value while ensuring compliance, security, and governance across their entire data landscape.

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Skyscanner

Skyscanner, founded in 2003, is a global leader in travel search, offering a comprehensive platform for comparing flights, hotels, and car rentals. The company was born out of the founders' frustration with finding affordable flights, particularly to ski resorts. ### Key Features - **Flight Search**: Skyscanner's primary function is as a flight search engine, allowing users to compare prices across hundreds of airlines, airports, and travel agencies. The platform offers unique features such as 'Everywhere' search and 'Best Time to Book' to optimize travel costs. - **Hotel and Car Rental Search**: Added in 2014, these services complement the flight search, enabling users to plan comprehensive travel packages. - **Multi-City Trips and Flexible Search**: Users can plan complex itineraries and utilize flexible search options, including searching by airport, city, or country. ### Technology and User Experience - Skyscanner is renowned for its user-friendly interface, featuring a month calendar view for identifying the cheapest travel dates. - The company's mobile app, available on iOS and Android, has been downloaded over 60 million times and offers the same functionality as the website. ### Business Model Skyscanner generates revenue through advertising and commissions from its partners, which include over 1,200 travel providers. The service remains free for users, with no hidden fees or charges. ### Growth and Milestones - By 2008, Skyscanner reached one million daily users. - In 2009, it became a global service available in 30 languages. - As of 2019, the platform boasted 100 million monthly users. - In 2016, Skyscanner was acquired by Trip.com Group (formerly Ctrip). ### Values and Operations Skyscanner prioritizes transparency and trust, maintaining a Customer Charter and refraining from reordering search results or charging hidden fees. With offices in ten locations worldwide, including Edinburgh, Barcelona, Beijing, and Singapore, Skyscanner demonstrates its global reach and commitment to international markets.