The year 2024 is anticipated, as has been the trend in the last decade, to be an exciting period in the field of Big Data and Artificial Intelligence / Machine Learning. These technologies continue to evolve and increasingly play a crucial role in decision-making, innovation, and problem-solving across various industries.

Next, we will explore some prominent trends for the upcoming year and our perspective on them at Keepler.

Building Platforms Oriented Towards Data Products

Despite the exponential growth of current data platforms over the past decade, with a significant increase in stored data and continuous development of new technologies, products, and associated services, there is still a noticeable lack, particularly in many sectors, regarding the business strategy supporting their implementation.

This situation leads companies to face common challenges in the data realm, such as the formation of information silos, limited trust in data, talent shortages, and a lack of data culture, along with the absence of clear goals and KPIs related to data.

During 2023, with a significant focus in 2024, a trend is observed among large enterprises recognizing the urgent need to reorganize information according to business domains. This allows the creation of data products that can subsequently serve various business applications and use cases, democratizing their use and providing both internal and external services through these products.

End-to-End Data Platforms: Build, Buy, or Both?

As we move into 2024, businesses are increasingly turning to cloud-based data platforms to harness the power of their data. However, with a variety of options available, the question arises: Should organizations build their own data platforms, buy one from a vendor, or take a mix approach?

At Keepler Data Tech, we recognize that the optimal approach is not a one-size-fits-all solution. Instead, we advocate for a pragmatic approach that considers the specific needs and capabilities of each client.

In many cases, a mix approach that combines both build and buy strategies can provide the most effective solution. This approach involves starting with a pre-built cloud data platform, leveraging its core functionalities and pre-configured components to accelerate time to value. As the organization’s data needs evolve and specific requirements emerge, custom-built components can be integrated to address unique complexities and enhance the platform’s capabilities.

Especially in complex organizations, we see a strong need to leverage the build approach to address the associated complexities. This allows organizations to tailor the data platform to their specific needs and address unique challenges that may not be addressed by pre-built solutions.

Generative AI

Discussing Generative Artificial Intelligence (Gen AI) is not groundbreaking in the past year, and asserting that it will be a trend in 2024 is simply acknowledging an evident truth. Challenges faced by society and the technology sector, particularly in terms of regulation and ethics, are well-known. The creation and application of regulatory frameworks become essential to ensure responsible and ethical use of Gen AI, avoiding potential abuses or negative impacts on society.

However, similar to other innovative technologies that have emerged in the market in the last two decades, driven by the popularity of public cloud, technological democratization with pay-as-you-go models, and the rise of big data, the true challenge lies in transforming the use of these technologies beyond mere proof of concepts.

The key is to provide organizations with the necessary mechanisms and tools to govern and deploy products and services implemented with Gen AI. The goal is to create scalable solutions that have sustainable use, considering the current costs associated with these models, and ensure the return on investment of developed use cases, akin to the management of other technologies today.

Sustainability

Another standout topic during 2023, poised to have a significant impact in 2024, is sustainability. Whether due to the enforcement of various regulations or the growing awareness in our society about the need to care for the world we inhabit, more companies are not only striving to be more sustainable but also measuring and reporting their efforts.

However, it has been observed that merely reporting on the sustainability of a business contributes little to the culture and commitment of companies.

Nevertheless, when it comes to achieving sustainability through the implementation of use cases aimed at improving operational efficiency and cost savings in various areas/processes, we are on the brink of being able to offer our clients and their businesses attractive use cases. These cases will have a clear return on investment and will help them minimize their carbon footprint on the planet.

Promoting sustainability through the implementation of solutions to improve energy efficiency, efficiently manage waste, promote sustainable mobility, adopt green technologies, optimize the supply chain, and responsibly manage water will encourage adoption by business users.

Data & Analytics in 2024: Keepler’s Vision for Simplicity in a Complex Landscape

The world of Data & Analytics is abuzz with Generative AI, Sustainability goals, and Cloud Data Platforms. While these advancements hold immense potential, Keepler Data Tech believes that the cornerstone of value remains the same: data. In the midst of these transformative trends, it’s crucial to remember that data is the foundation upon which everything else is built.

At Keepler, we advocate for simplicity in the data journey, from source to production. Amidst the hype surrounding cloud hyperscalers promising “seamless” data journeys, we believe that a more fundamental approach is required: making data simple and accessible for all users.

The allure of the “modern data stack” is undeniable, but the proliferation of tools and solutions can lead to overwhelming complexity. We believe in streamlining the data journey, making it intuitive for everyone to collect, manage, analyze, and utilize data.

Our vision for 2024 is one of data simplicity. We envision a data landscape where organizations can effortlessly navigate their data assets without getting bogged down in technical intricacies. This simplicity will empower organizations to derive actionable insights, drive innovation, and achieve their strategic objectives.

In conclusion, the year 2024 is poised to be a dynamic period for the intersection of Big Data and Artificial Intelligence/Machine Learning. Key trends include the shift towards building platforms oriented towards Data Products, the strategic decision-making between building, buying, or a combination of both for Data Platforms, the continued evolution of Generative AI with a focus on responsible deployment, and the increasing emphasis on sustainability in business practices.

As outlined by Keepler Data Tech, the importance of data remains paramount amidst these transformative trends. The vision for 2024 revolves around achieving simplicity in the data journey, ensuring that organizations can navigate their data assets seamlessly. This simplicity is seen as a crucial factor in empowering organizations to derive actionable insights, foster innovation, and successfully attain their strategic objectives. Amidst the various advancements, Keepler advocates for a fundamental approach that prioritizes making data simple and accessible for all users, underscoring its role as the foundation upon which the future of Data & Analytics will be built.

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