View data and artificial intelligence Entry-level jobs below.
Pride of womanhood empowerment initiative is a female sex worker led CBO, currently sub-granted by HAI-N to implement the USAID funded - Integrated MARPs ...
We are the directing and coordinating authority on international health within the United Nations’ system. We do this by: providing leadership on matters ...
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 ...
CardinalStone is a full service investment banking firm operating out of Lagos Nigeria. The firm began operations in June 2008 and is currently registered by ...
The Cardinal Torch Company Limited is a Group Holding Company which specializes in all areas of Agriculture and Oil & Gas with an Independent Co-operative ...
We are building an ecosystem to provide millions of customers with the best choice and value in digital and financial services. We are creating new and unique ...
ipNX Nigeria Limited is a leading provider of infrastructure-based Telecommunications and Information Technology services here in Nigeria. Leveraging more than ...
eHealth4everyone is a leading digital health social enterprise dedicated to making the world healthier. We are a new kind of mission-driven organization with ...
Credit Direct Limited is a non-bank finance company with its Head-Quarters in Lagos, Nigeria. The company was established in 2006 and is focused on providing ...
We are a team of experienced Business and IT professionals with experience in implementing large scale enterprise systems with global companies. We have ...
LEAD Enterprise Support Company Limited is a foremost Human Resources Solutions organization with many years of cumulative experience and expertise. We are ...
To inspire the world with innovative technology,support and services that enrich peoples lives and contribute to a socially responsible, sustainable ...
Médecins Sans Frontières (MSF) is an international, independent, medical humanitarian organisation that delivers emergency aid to ...
"What are we aiming at?” That’s the question our first president, Daniel Coit Gilman, asked at his inauguration in 1876. What is this place all ...
Society for Family Health is one of Nigeria’s largest non-governmental organisations. Founded in 1985 by three eminent Nigerians: Professor Olikoye ...
Pally Agro Products Limited is a modern farm with impeccable food standards and nature and the right philosophy. Our products are Eggs, Chickens, Banga, and ...
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.
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.
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
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.
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.
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.
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.
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.
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.
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.