Bring value to data with AI today, how ?

As an AI developer, I see artificial intelligence as a real sucker for analyzing, processing and using data. Therefore.

Data is a central element of a company's assets. Mastering the collection, analysis and processing of data offers a preponderant competitive advantage. This is what will give Artificial Intelligence (AI) its full dimension and effectiveness.

If we were to define AI, which is already very bold on my part, I would use the same definition as Demis Hassabis , CEO of DeepMind 谷歌 Google DeepMind . AI is "the science of making machines intelligent."

In my opinion, when we talk about data analytics, AI includes technologies that extract information and patterns from large data sets, but more than that.

Why should you use AI for your Data Analysis for your business ? Uche Azinge Yvonne W

So, you already have access to your website’s analytics or the data of your marketing efforts, what can AI do for you?

With AI, you can make sure you’re analyzing all data uniformly. Since AI lacks human bias and can examine vast amounts of data at lightning-fast speed, it can predict how your campaigns will go, and even proactively offer insights to ensure you’re catching all info.

This allows you to examine and keep track of your data even if you’re not a data scientist. After all, with AI products, you can skip the long and expensive process of developing algorithms, and skip right to analyzing your data.

• ? AI is great at finding insights and patterns in large data sets that humans can't see. It's done at scale and quickly.

Using AI and Big Data: a real business challenge

From logistics to accounting, including human resources, AI is at the heart of all services. The principle: combine data and intelligent machines to increase the overall performance of the company. Several levels of the company and fields of activity can benefit from it.

Whether large or small, every company builds its strategy around a central element: the customer. The mission of Big Data combined with AI? To know your ideal buyer at the tip of your fingers and then adapt your products and services. Depending on the information collected (buying behavior, expectations, motivations, questions, etc.), brands are able to personalize marketing campaigns, improve the online experience or even perfect their after-sales service.

• Predicting business and marketing outcomes. AI-powered systems can analyze data from hundreds of sources and predict what works and what doesn't. AI can also further analyze customer data and make predictions about consumer preferences, product development and marketing channels.
• Integrate analytics and customer data. AI can also integrate data from different sources, even hard-to-track data like phone calls.

Big Data and AI in finance Grace Kaza Roho Francis David MADIMU KUZONZILA Frank Akinwande Williams

Making reliable forecasts remains a major challenge for companies. Thanks to AI and Big Data, the implementation of solid indicators allows companies to generate volume forecasts, better manage their inventories and therefore make informed decisions about budget allocation. In short, allocate the right resources to the right item at the right time.

Regardless of an organization's core business, it can benefit from the advantages of Big Data and artificial intelligence to be more efficient in its market and in its internal operations. These technologies are proving to be levers of performance and growth for years to come.

• Demand forecasting. With its forecasting capabilities, AI can use analytics data to predict product demand based on available inventory, seasonal trends, past buying behavior, etc.

Here are some modern ways to use AI with there features to facilitate life in data analysis Jerry Armando KASA :

• Find insights. Artificial intelligence can look at large amounts of data and find the trends and patterns needed to help users find the insights they need to improve their sales and marketing efforts, customer interactions, engagement and more.
• Simplify data analysis. By feeding all data into a single solution, users get a more complete picture of their data and make it easier to understand and track.
• Predict outcomes. With predictive AI, users can make predictions and analyze potential scenarios to identify those most likely to succeed.

During the preparation of this article, I have found some great AI tools for data analysis Jér?me RIBEIRO :

• Polymer?Search is a robust tool with a powerful AI made to turn your boring data into a more streamlined, powerful, and flexible database. All without writing a single line of code.
• Tableau is an analytics and data visualization platform that allows users to interact with the data they have without the need for coding. The platform is easy to use, allowing users to create and modify dashboards and reports in real-time, and seamlessly share them across users and teams. It comes with all the features expected from tools like these, supporting databases of all sizes and offering multiple visualization options for users to analyze their data.
• MonkeyLearn is another no-coding platform with AI data analysis features for users to visualize and rearrange their data. The platform comes with multiple AI-powered text analysis tools to instantly analyze and visualize data to the user’s needs. Users can set up text classifiers and text extractors to automatically sort data according to the right topic or intent, and extract product features or user data.
• Microsoft Power BI is a famous business intelligence platform that also gives users the ability to sort through their data and visualize it to search for insight. The platform allows users to import data from practically anywhere, and get started on creating reports and dashboards as they need. Users can also build machine learning models and access other AI-powered features to help them analize their data. The platform comes with multiple integrations, including a native Excel integration, and a UI faster and more responsive than some other solutions, although often at a higher price tag.
• ?BlueConic is a customer data platform that turns customer data into personal profiles for marketing purposes.
• Sisense is another data analytics platform that allows both analysts and developers to sort through and visualize their data.The platform is easy to use, with multiple drag-and-drop tools and a responsive UI made to streamline the experience. Sisense also allows users to access their “In-Chip” technology and choose between RAM and CPU to process the data, making computation faster when handling large datasets.
• Pencil is a competitive and business intelligence tool that helps companies track, analyze and react to everything that is happening in the market.
• Akkio is a business analytics and forecasting tool for users to analyze their data and predict potential outcomes.This no-coding platform comes with lead scoring features made for users to qualify and segment their lead lists and prioritize hot leads. The forecasting features allow users to use the data they have to get future predictions on practically any dataset.?
• QlikView is another business intelligence and data visualization solution that allows users to tap into AI technology to analyze their data.The platform comes with multiple data exploration features and a versatile platform that’s friendly to both technical and non-technical users.?
• Helixa - Using AI helps you create detailed personas based on your audience's interests, demographics and psychographics.
• Invoca is an AI-powered conversation analysis and call tracking tool that brings the depth of marketing analytics previously limited to digital consumer interactions to the world of person-to-person sales.
• SAP BusinessObjects allows less-technical users to analyze, visualize, and report on their data, all while seamlessly integrating to the rest of the SAP suite.

Artificial intelligence and Big Data, converging technologies Dominique Migisha Thys KAZAD (MSc, MBA ) Rafiki Assumani

To understand how these two systems are complementary, we need to go back to the definition of AI. In the broadest sense, artificial intelligence refers to all technologies capable of reproducing the analytical capacities of a human being. To do this, the machine must integrate a large amount of data to learn, correct itself and internalize the right algorithmic models, adapted to the situations it encounters.

This learning process is called Machine Learning (ML). Big data has a major influence on this process: the more data the machine ingests, the more it will be able to perfect its knowledge and deductions, and thus imitate the cognitive functions of human intelligence. This is why today, Big Data and AI are bound to work together in an inevitable way: we even talk about "Big Data Intelligence".

Finally, there is a lack of AI talent in the finance sector 德勤 Rawbank Jean-Claude TSHIPAMA, PHD candidate and in companies. Many companies do not have the internal expertise to develop and implement AI solutions. They therefore have to rely on third-party providers, which can be costly.

The verdict Dunia DUNIA Olga KAVIRA K. Olga Kabanga

In summary, the future of AI in business and finance is full of potential but also uncertainty. New data applications are creating new values for businesses and new challenges that we must adapt to if we are to remain in the industry. But despite the challenges, it is clear that AI will play an increasingly important role in the sector, changing the way we do business and manage our finances and better the way we use, analyse and process our data. With this in mind, it is crucial that we stay ahead of the curve and continue to educate ourselves on the latest developments in AI so that we can make the most of its potential.

TechZolA TechZolA Renedi MPONGO Fabrice CUBAKA Nft is a young startup that offers tailor-made training solutions for your company on Artificial Intelligence in order to accompany your transition to new technologies as a profit driver for your business.?

?Kaz'Art (Arthur Bahati KAZA)

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