18Sep

Product Manager, Analytics at Red Hat – Raleigh


About the Job

The Red Hat Products & Technologies Business Insights team is seeking an Analytics Product Manager to join our team.  In this role you will provide leadership and oversight in the development of analytical products that monitor, predict, and measure business performance.  You will lead the development of product strategies and roadmaps and serve as the key contact for delivery to business users.

What You’ll Do

  • Translate business problems into data requirements and analytics products

  • Accountable for building internal analytics products that turn raw data into actionable insights

  • Document use cases & internal stakeholders, gathers requirements, sets formal roadmaps, and manages relationships with other teams jointly working  on that internal product 

  • Work closely w/ Data Scientists, Data Engineers & Data Analysts & to facilitate product  development

  • Deliver products to stakeholders by training users, creating documentation, communications & evangelism (ie; mojo site, roadshows, newsletters, etc.)

  • Provide strategic oversight and manage the overall end-to-end lifecycle of the analytics products 

What You’ll Bring

  • Bachelor’s degree in business administration or a quantitative field, or equivalent experience; masters degree is preferred

  • 5+ years of related professional experience

  • Ability to develop and maintain good relations and communicate with people at all hierarchical levels

  • Advanced analytical skills, preferably with background in or exposure to data science

  • Ability to reconcile technical and business perspectives

  • Coachable, energetic, detail-oriented; focused and diligent on delivering results

  • Excellent written and verbal English communication skills

  • Demonstrated customer service, interpersonal and time management skills in a dynamic environment

  • Experience with SQL / Python and Tableau development is a plus

The salary range for this position is $90,480.00 – $144,660.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. 

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates have the flexibility to choose the work environment that suits their needs from in-office to fully remote to office-flex. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We’re a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Opportunities are open. Join us.

Benefits
●    Comprehensive medical, dental, and vision coverage
●    Flexible Spending Account – healthcare and dependent care
●    Health Savings Account – high deductible medical plan
●    Retirement 401(k) with employer match
●    Paid time off and holidays
●    Paid parental leave plans for all new parents
●    Leave benefits including disability, paid family medical leave, and paid military leave
●    Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! 

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. 

Diversity, Equity & Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email

ap********************@re****.com











. General inquiries, such as those regarding the status of a job application, will not receive a reply. 



Source link

17Sep

Dell Business Development Manager, Europe (Remote)

Job title: Dell Business Development Manager, Europe (Remote)

Company: CrowdStrike

Job description: cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the… looking for an European Business Development Manager to help drive engagement and sales growth with Dell across Europe. Success in this role…

Expected salary:

Location: Ireland

Job date: Wed, 03 Jul 2024 03:30:04 GMT

Apply for the job now!

17Sep

The Shifting Vocabulary of AI


The vocabulary of Generative AI and Conversational AI is evolving at a rapid pace. The challenge with such swift technological advancement is that new terms are constantly being introduced, shaping our understanding. Having meaningful conversations relies on aligning these terms with our respective mental models.

Introduction

Considering the graph below, there has been an evolution of prompt engineering and generation in natural language processing (NLP), let’s trace key developments back chronologically.

Early language models and information retrieval systems laid the foundation for prompt engineering. In 2015, the introduction of attention mechanisms revolutionised language understanding, leading to advancements in controllability and context-awareness.

Significant contributions were made in 2018 and 2019 , with a focus on fine-tuning strategies, control codes, and template-based generation.

During this period, breakthroughs in reinforcement learning techniques addressed challenges such as exposure bias and biases in generated text.

In 2020 and 2021, contextual prompting and transfer learning improved prompt engineering.

In 2022 and 2023, new techniques like unsupervised pre-training and reward shaping appeared.

For readers already familiar with the landscape and technology, I’ll begin at number 10 and work my way back to number one.

Agentic Exploration

Web-Navigating AI Agents: Redefining Online Interactions and Shaping the Future of Autonomous Exploration.

Agentic exploration refers to the capacity of AI agents to autonomously navigate and interact with the digital world, particularly on the web.

Web-navigating AI agents are revolutionising online interactions by automating complex tasks such as information retrieval, data analysis, and even decision-making processes.

These agents can browse websites, extract relevant data, and execute actions based on predefined objectives, transforming how users engage with online content. By reshaping the way we interact with the web, these AI agents are paving the way for more personalized, efficient, and intelligent online experiences.

As they continue to evolve, web-navigating AI agents are poised to significantly impact the future of autonomous exploration, expanding the boundaries of what AI can achieve in the digital realm.

Agentic / Multi-Modal AI Agents

As agents grow in capability, they are also expanding into navigating by leveraging the image / visual capabilities of Language Models.

Firstly, language models with vision capabilities significantly enhance AI agents by incorporating an additional modality, enabling them to process and understand visual information alongside text.

I’ve often wondered about the most effective use-cases for multi-modal models, is applying them in agent applications that require visual input is a prime example.

Secondly, recent developments such as Apple’s Ferrit-UI, AppAgent v2 and the WebVoyager/LangChain implementation showcase how GUI elements can be mapped and defined using named bounding boxes, further advancing the integration of vision in agent-driven tasks.

AI Agents / Autonomous Agents

An AI Agent is a software program designed to autonomously perform tasks or make decisions based on available tools.

As illustrated below, these agents rely on one or more Large Language Models or Foundation Models to break down complex tasks into manageable sub-tasks.

These sub-tasks are organised into a sequence of actions that the agent can execute.

The agent also has access to a set of defined tools, each with a description to guide when and how to use them in sequence, addressing challenges and reaching a final conclusion.

Agentic Applications

Agentic applications refer to software systems that utilise autonomous AI agents to perform tasks, make decisions, and interact with their environment with minimal human intervention.

According to recent studies these applications leverage large language models (LLMs) to drive agent behaviours, enabling them to navigate complex tasks across various domains, including web navigation, data analysis, and task automation.

By integrating LLMs with other modalities like vision and reinforcement learning, agentic applications can dynamically adapt to changing inputs and goals, enhancing their problem-solving capabilities.

The study highlights how these agents can be evaluated for effectiveness in different scenarios, pushing the boundaries of what autonomous systems can achieve.

As agentic applications evolve, they hold the potential to revolutionise industries by automating intricate workflows and enabling new forms of intelligent interaction.

In-Context Learning / ICL

The underlying principle which enables RAG is In-Context Learning (ICL).

In-context learning refers to a large language model’s ability to adapt and generate relevant responses based on examples or information provided within the prompt itself, without requiring updates to the model’s parameters.

By including a few examples of the desired behaviour or context within the prompt, the model can infer patterns and apply them to new, similar tasks.

This approach leverages the model’s internal understanding to perform tasks like classification, translation, or text generation based solely on the context given in the prompt.

In-context learning is particularly useful for tasks where direct training on specific data isn’t feasible or where flexibility is required.

Retrieval Augmented Generation / RAG

Retrieval Augmented Generation (RAG) combines information retrieval and generativemodels.

By injecting the prompt with relevant and contextual supporting information, the LLM can generate telling and contextually accurate responses to user input.

Below is a complete workflow of how a RAG solution can be implemented. By making use of a vector store and semantic search, relevant and semantically accurate data can be retrieved.

Prompt Pipelines

In machine learning, a pipeline is an end-to-end construct that orchestrates the flow of events and data. It is initiated by a trigger, and based on specific events and parameters, it follows a sequence of steps to produce an output.

Similarly, in the context of prompt engineering, a prompt pipeline is often initiated by a user request. This request is directed to a specific prompt template.

Prompt pipelines can be viewed as an intelligent extension of prompt templates.

They enhance the predefined templates by populating variables or placeholders (a process known as prompt injection) with user queries and relevant information from a knowledge store.

Below is an example from our GALE framework, on how a pipeline can be built in a no-code fashion.

Prompt Chaining

Prompt Chaining, also referred to as Large Language Model (LLM) Chaining, is the notion of creating a chain consisting of a series of model calls. This series of calls follow on each other with the output of one node in the chain serving as the input of the following.

Each chain node is intended to target small and well scoped sub-tasks, hence one or more LLMs is used to address multiple sequenced sub-components of a task.

In essence prompt chaining leverages a key principle in prompt engineering, known as chain of thought prompting.

The principle of Chain of Thought prompting is not only used in chaining, but also in Agents and Prompt Engineering.

Chain of thought prompting is the notion of decomposing a complex task into refined smaller tasks, building up to the final answer.

Prompt Composition

The next step is to develop a library of prompt templates that can be combined at runtime to create more advanced prompts. While prompt composition adds a level of flexibility and programmability, it also introduces significant complexity.

A contextual prompt can be constructed by combining different templates, each with placeholders for variable injection. This approach allows for parts of a prompt to be reused efficiently.

A contextual prompt is composed or constituted, with the different elements of the prompts having placeholders as templates.

Prompt Templates

A step up from static prompts is prompt templating.

In this approach, a static prompt is transformed into a template by replacing key values with placeholders.

These placeholders are then dynamically filled with application values or variables at runtime.

Some refer to templating as entity injection or prompt injection.

In the example template example below you can see the placeholders of${EXAMPlES:question}, ${EXAMPlES:answer} and ${QUESTIONS:question} and these placeholders are replaced with values at runtime.

Static Prompts

Generation is a core functionality of large language models (LLMs) that can be effectively utilised, with prompt engineering serving as the method through which data is presented, thereby influencing how the LLM processes and responds to it.

Text Generation Is A Meta Capability Of Large Language Models & Prompt Engineering Is Key To Unlocking It.

You cannot talk directly to a Generative Model, it is not a chatbot. You cannot explicitly request a generative model to do something.

But rather you need a vision of what you want to achieve and mimic the initiation of that vision. The process of mimicking is referred to as prompt design, prompt engineering or casting.

Prompts can employ zero-shot, one-shot, or few-shot learning approaches. The generative capabilities of LLMs are significantly enhanced when using one-shot or few-shot learning, where example data is included in the prompt.

A static prompt is simply plain text, without any templating, dynamic injection, or external input.

The following studies were used as a reference:

MOBILEFLOW: A MULTIMODAL LLM FOR MOBILE GUI AGENT

A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)

Agentic Skill Discovery

WEBARENA: A REALISTIC WEB ENVIRONMENT FOR BUILDING AUTONOMOUS AGENTS

Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs

WebVoyager : Building an End-to-End Web Agent with Large Multimodal Models

Follow me on LinkedIn for updates on Large Language Models

I’m currently the Chief Evangelist @ Kore AI. I explore & write about all things at the intersection of AI & language; ranging from LLMs, Chatbots, Voicebots, Development Frameworks, Data-Centric latent spaces & more.

LinkedIn

Get an email whenever Cobus Greyling publishes.





Source link

17Sep

IT Project Resource

Job title: IT Project Resource

Company: Berkley Group

Job description: IT Project Resource Contract Role- Cork Ireland The main objective of the role is to support Compute IT Operations… vendors (HCL, CTS, Infosys, PFH, Presidio & Local vendors in regions) project teams Manage and maintain patching/security…

Expected salary:

Location: Co Cork

Job date: Sun, 15 Sep 2024 07:51:11 GMT

Apply for the job now!

17Sep

Financial Analyst / Business Partner

Job title: Financial Analyst / Business Partner

Company: ICON

Job description: organization. We’re proud to foster an inclusive environment driving innovation and excellence…, direction and leadership to specific support department lines within the business, enabling ICON to accomplish its objectives…

Expected salary:

Location: Dublin

Job date: Wed, 21 Aug 2024 07:35:32 GMT

Apply for the job now!

17Sep

HCP Omni Channel Marketing Manager at Abbott – United States – Alameda : Plaza 6 Building


Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

Working at Abbott 

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: 

  • Career development with an international company where you can grow the career you dream of. 

  • Free medical coverage for employees* via the Health Investment Plan (HIP) PPO 

  • An excellent retirement savings plan with high employer contribution 

  • Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit – an affordable and convenient path to getting a bachelor’s degree. 

  • A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.  

  • A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.  

 

The Opportunity  

This position works out of our Alameda, CA location in the Diabetes Care division where we are focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology. 

 

As the HCP Omnichannel Marketing Manager you will be accountable for ensuring that engagements initiated by commercial teams are channel agnostic and customer centric. You will be engaging across commercial and cross functional teams in maintaining, augmenting and evolving customer engagement journeys, channel level assets and data that fuels insights.

What You’ll Work On 

  • Leads HCP omni capability design & execution guiding digital / omnichannel delivery for media, planning, CRM, RTEs and content
  • Partners with and across functions to develop HCP omnichannel vision, strategy and pull-through, manage deployment of omni capabilities consistent with brand strategy
  • Create, maintain and augment HCP segment specific journeys orchestrated to engage with right message at the right time through right channel.
  • Identify engagement patterns and deduce insights to create a proactive action plan for marketing collateral development
  • Defines the data strategy for omnichannel and designs omni measurement plans and learning experiments
  • Provide analytic insights to Strategy, Operational, Leadership metrics that feed into Omni Dashboard development
  • Collaborate with sales and training teams to plan and support in training and reinforcement of content and enhancements
  • Accountable for identifying champions to manage change across different teams to embrace new way of working.
  • Work closely with platforms and enablement team to enhance journeys, expand on data inputs to further refine next best suggestions orchestrated across channels.

Required Qualifications 

Bachelor’s degree with at least 4-6 years of related marketing experience, or MBA with 1-3 years of related experience. 

Preferred Qualifications 

  • MBA, MS Degree in Business

  • Strategic Consulting Experience

  • Excellent collaboration skills in a large, complex and matrix organization with a dynamic environment

  • Understanding of omni channel orchestration, segmentation analysis, targeting efforts, creative/messaging coordination

  • Proven ability to manage multiple tasks concurrently under aggressive timelines in a dynamic and ambiguous environment

  • Strong strategic thinking, executive presence capabilities, and attention to detail

  • Advanced communication and presentation skills including ability to create impactful power point presentations with visual storytelling and adjust the story/details based on the audience

  • Familiarity with latest analytical tools and dashboarding technologies, data warehousing, software, process, and applications (e.g., SQL, Tableau, AWS, Python, Machine Learning, Predictive Analytics, etc.)

Apply Now 

 

* Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year. 

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:  www.abbottbenefits.com  

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. 

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews. 

     

The base pay for this position is

$125,700.00 – $251,500.00

In specific locations, the pay range may vary from the range posted.

     

JOB FAMILY:

Marketing Support

     

DIVISION:

ADC Diabetes Care

        

LOCATION:

United States > Alameda : Plaza 6 Building

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

No

     

MEDICAL SURVEILLANCE:

No

     

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

     

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

     

EEO is the Law link – English: http://webstorage.abbott.com/common/External/EEO_English.pdf

     

EEO is the Law link – Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf



Source link

17Sep

Business Manager

Job title: Business Manager

Company: Thermo Fisher Scientific

Job description: Work Schedule First Shift (Days) Environmental Conditions Office Job Description Business Manager – Laboratories… to deliver groundbreaking innovations. Discover Impactful Work: As a Business Manager for our GMP analytical testing facility…

Expected salary:

Location: Ireland

Job date: Thu, 29 Aug 2024 22:51:36 GMT

Apply for the job now!

17Sep

New Business Sales Executive – UKI

Job title: New Business Sales Executive – UKI

Company: SAP

Job description: value and innovation to its customers and prospects. What are you looking for? To join a market leader in business…We help the world run better Our company culture is focused on helping our employees enable innovation by building…

Expected salary:

Location: Southside Dublin

Job date: Fri, 30 Aug 2024 22:27:03 GMT

Apply for the job now!

17Sep

Business Development Manager

Job title: Business Development Manager

Company: CPM International

Job description: Job Description: Every member of the CPM team contributes to the overall growth of our business. People are at the… core of CPMs business proposition so as a key member of the CPM Bolttech team this role is expected to make a significant…

Expected salary:

Location: Dublin

Job date: Sat, 31 Aug 2024 06:58:30 GMT

Apply for the job now!

Protected by Security by CleanTalk