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Data and Artificial Intelligence Jobs in Rivers

View Data and Artificial Intelligence jobs in Rivers below.

  • ARCO Worldwide Services Limited logo

    RPAS Pilot

    ARCO Worldwide Servic..Rivers, Nigeria22 May

    ARCO Worldwide Services Limited (AWS) is a diversified indigenous company that leverages the latest UAV technologies and software to provide integrated ...

    Onsite
  • SPIE Oil & Gas Services logo

    Data Expert M/F

    SPIE Oil & Gas Se..Rivers, Nigeria14 May

    Representing upstream in exploration, offshore and onshore production, as well as downstream in refining and petrochemicals, SPIE Oil & Gas Services is ...

    Onsite
  • AB Microfinance Bank logo

    Trainee Quality Control Officer

    AB Microfinance BankAnambra, Rivers, Nigeria22 April

    AB Microfinance Bank Nigeria is a foreign-owned financial institution, based in Lagos state, which offers a broad range of financial services to micro, small ...

    Onsite
  • Velox Real Estate & Investment Limited logo

    Documentation Officer

    Velox Real Estate & I..Rivers, Nigeria10 April

    Velox Real Estate & Investment Limited is a dedicated to real estate development and helping real estate investors acquire land that suits their purpose and ...

    Onsite
  • Coca-Cola logo

    Sales & Reporting Analyst

    Coca-ColaRivers, Nigeria09 April

    Coca-Cola is the most popular and biggest-selling soft drink in history. An icon of all times, Coca-Cola is the best-known product in the world. Created in ...

    Onsite
  • Rivers State University of Science and Technology logo

    Statistician / Programme Analyst

    Rivers State Universi..Rivers, Nigeria18 March

    The Rivers State University of Science and Technology (RSUST) Port Harcourt was established in October, 1980 from the Rivers State College of Science and ...

    Onsite
  • International Energy Services Limited (IESL) logo

    Senior Azure Data Engineer 

    International Energy ..Rivers, Nigeria05 February

    International Energy Services Limited (IESL), established in 1990, is a specialist, multidisciplinary, energy services company that provides integrated, ...

    Onsite
  • Venocrest Schools logo

    Data Processing Teacher

    Venocrest SchoolsRivers, Nigeria22 January

    Venocrest School was founded by Mrs. Beatrice Nnenne Obiahu on the 29th of September 2010, to actualize the dreams she had with her late husband. She assessed ...

    Onsite
  • Keves Global logo

    Bid Analyst

    Keves GlobalRivers, Nigeria16 January

    KEVES GLOBAL LEASING LIMITED was incorporated on 20 september,2003 and commenced business on 1 January 2005. The company was formed to address the prevalent ...

    Onsite
  • International Breweries logo

    Packaging Data Capture Clerk

    International Breweri..Rivers, Nigeria11 January

    International Breweries Plc was incorporated in December 1971 by its founder and first Chairman, Dr. Lawrence Omole under the name International Breweries ...

    Onsite
  • Sarabel Logistics and Security Services Limited logo

    Data Collector/Data Analyst

    Sarabel Logistics and..Lagos, Rivers, Nigeria09 January

    Sarabel Logistics and Security Services Limited is a security company with a reputation of providing effective security solutions and the use of innovative ...

    Onsite
  • Rosetti Pivot Limited logo

    Data Analyst

    Rosetti Pivot LimitedLagos, Rivers, Nigeria18 December, 2023

    Rosetti Pivot Ltd offers world class services through local design, fabrication, manufacture and supply of platforms and systems for the oil & gas ...

    Onsite
  • Axiom PRO LLC logo

    Business Analyst (Remote)

    Axiom PRO LLCLagos, Enugu, Anambra, Ebonyi, Abuja, Abia, Adamawa, Akwa Ibom, Bauchi, Bayelsa, Benue, Borno, Cross River, Delta, Edo, Ekiti, Gombe, Imo, Jigawa, Kaduna, Kano, Katsina, Kebbi, Kogi, Kwara, Niger, Ogun, Ondo, Osun, Oyo, Nasarawa, Plateau, Sokoto, Rivers, Taraba, Yobe, Zamfara, Other, Nigeria29 November, 2023

    Axiom excels in providing outstaffing and recruitment services. We take on the task of building a team that helps your business be more efficient and ...

    Remote
  • University of Port Harcourt logo

    Data Processing Officer II

    University of Port Ha..Rivers, Nigeria22 November, 2023

    Requirements Candidates must possess an Honours Degree (minimum of 2.2) / HND (with at least Upper Credit) in Computer Science / Data Processing from a ...

    Onsite
  • Vantegral Consulting logo

    Data Administrator

    Vantegral ConsultingRivers, Nigeria02 November, 2023

    We are Vantegral Consulting. Our sole aim is to offer value to clients and businesses. With an array of services ranging from recruitment outsourcing, ...

    Onsite
  • Diadem Consults Ltd logo

    Monitoring and Evaluation (M&E) Officer

    Diadem Consults LtdRivers, Nigeria20 October, 2023

    Diadem Consults Ltd is a solution and service provider to complex development, health, and environmental problems. The company is wholly Nigerian-owned and was ...

    Onsite

What is Big Data?

Big data is a combination of structured, semi-structured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modelling and other advanced analytics applications.

Systems that process and store big data have become a common component of data management architectures in organizations, combined with tools that support big data analytics.

Also, big data is often characterized by the three V's:

  • the large volume of data in many environments;

  • the wide variety of data types frequently stored in big data systems; and

  • the velocity at which much of the data is generated, collected and processed.

Big data has become relevant in almost every field and industry. Currently, companies use big data in their systems to improve operations, provide better customer service, create personalized marketing campaigns and take other actions that, ultimately, can increase revenue and profits. Businesses that use it effectively hold a potential competitive advantage over those that don't because they're able to make faster and more informed business decisions.

What is AI? 

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.

This AI system works by ingesting large amounts of labelled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states.

AI programming focuses on cognitive skills that include the following:

  • Learning. This aspect of AI programming focuses on acquiring data and creating rules for how to turn it into actionable information. The rules, which are called algorithms, provide computing devices with step-by-step instructions for how to complete a specific task.

  • Reasoning. This aspect of AI programming focuses on choosing the right algorithm to reach a desired outcome.

  • Self-correction. This aspect of AI programming is designed to continually fine-tune algorithms and ensure they provide the most accurate results possible.

  • Creativity. This aspect of AI uses neural networks, rules-based systems, statistical methods and other AI techniques to generate new images, new text, new music and new ideas.

AI is important for its potential to change how we live, work and play. It has been effectively used in business to automate tasks done by humans, including customer service work, lead generation, fraud detection and quality control. In a number of areas, AI can perform tasks much better than humans.

Relationship between Big Data and AI

Big data and artificial intelligence have a synergistic relationship. AI requires a massive scale of data to learn and improve decision-making processes and big data analytics leverages AI for better data analysis. 

With big data AI-powered analytics, you can empower your users with the intuitive tools and robust technologies they need to extract high-value insights from data. 

By bringing together big data and AI analytics technology, companies can improve business performance and efficiency by:

  • Anticipating and capitalizing on emerging industry and market trends.

  • Analyzing consumer behaviour and automating customer segmentation

  • Personalizing and optimizing the performance of digital marketing campaigns

  • Using intelligent decision support systems fueled by big data, AI, and predictive analytics

Generally, AI makes big data analytics simpler by automating and enhancing data preparation, data visualization, predictive modelling, and other complex analytical tasks that would otherwise be labour-intensive and time-consuming

Job Roles in Big Data and AI 

  1. Data Scientist: A data scientist is responsible for analysing and interpreting complex data to find patterns and insights that can help organizations make better decisions. They need to be skilled in programming, data analysis, and machine learning.

  2. Data Analyst: A data analyst is responsible for collecting, cleaning, and analyzing data to identify trends and insights. They need to be skilled in statistics, data visualization, and programming.

  3. Machine Learning Engineer: A machine learning engineer designs and implements machine learning algorithms and models to automate tasks or create predictive models. They need to have strong programming skills and knowledge of statistics and mathematics.

  4. Business Intelligence Analyst: A business intelligence analyst uses data to help organizations make informed decisions. They analyze data to identify trends and patterns, and then create reports and visualisations to communicate insights to business leaders.

  5. Data Engineer: A big data engineer designs and implements large-scale data processing systems using technologies such as Hadoop and Spark. They need to have strong programming skills and knowledge of distributed computing.

  6. Data Architect: A data architect designs and maintains the architecture of data systems. They need to have a deep understanding of data modeling and database design.

  7. Data Mining Engineer: A data mining engineer develops and implements algorithms to discover patterns and insights in large datasets. They need to be skilled in programming and machine learning.