Goto

Collaborating Authors

5 primary activities for CIOs transforming to a data-driven organization

#artificialintelligence

It's become popular and almost cliché for CIOs, chief data officers, and IT leaders to proclaim the need to transform into a data-driven organization. We want leaders to leverage data and analytics in their decision making instead of the loudest or most experienced executives asserting decisions based on intuition and bias. We recognize that data is the new oil and that our businesses need to compete and differentiate with customer-facing, operational, and predictive analytics. Lastly, we know that data is a critical asset that must be managed, protected, and leveraged appropriately while still democratizing data so that there is increased utilization across the organization. CIOs, CDOs, and IT leaders need a data strategy.


How to Define and Execute Your Data and AI Strategy · Harvard Data Science Review

#artificialintelligence

Over the past decade, many organizations have come to recognize that their future success will depend on data and AI (artificial intelligence) capabilities. Expectations are high and companies are heavily investing in the area. However, our experience advising organizations in diverse industries suggests that many have also become disillusioned in their journey to create companywide, data-driven business transformation. This article discusses some of the common pitfalls in the implementation of data and AI strategies and gives recommendations for business leaders on how to successfully include data and AI in their business processes. These recommendations address the core enablers for data and AI capabilities, from setting the ambition level to hiring the right talent and defining the AI organization and operating model. Many companies are currently investing in data and artificial intelligence (AI). Since the terminology varies, the activities may be called AI, advanced analytics, data science, or machine learning, but the goals are the same: to increase revenues and efficiency in current business and to develop new data-enabled offerings. In addition, many companies see an increasing responsibility to contribute their AI expertise toward humanitarian and social matters. It is well understood that to stay competitive in the digital economy, the company's internal processes and products need to be smart--and smartness comes from data and AI. Over the past 4 years, our company DAIN Studios has been involved in more than 40 Data and AI initiatives in different companies and industries in Finland, Germany, Austria, Switzerland, and the Netherlands. Our clients are typically large, publicly listed companies.



2020 Data & Analytics Trends

#artificialintelligence

Now that data is the most transformative asset in business, it's essential to prepare for what lies ahead, and to adjust strategies accordingly in order to successfully face the business landscape of tomorrow. We have identified 10 trends happening in 2020 that will be catalysts and enablers for change, and they will drive companies to enhance capabilities to stay at the forefront of innovation. They will allow data to be consumed dynamically and in different ways, causing people to search and think of new ways to use data. Given Trends These trends are a must, and they require action now. It's apparent that legacy on-premises platforms have failed to make data accessible to all users.


Top 100 Big Data Companies Driving Innovation in 2021

#artificialintelligence

Big data as the name suggests is a large amount of data that is growing exponentially and it is difficult to be managed by traditional data management tools. These large data sets need cost-efficient, innovative, and efficient methods for analysis so that they can be helpful to devise insights. Currently, the world produces 2.5 quintillion bytes of data daily. The explosion of data continues in the roaring '20s, both in terms of generation and storage the amount of stored data is expected to continue to double at least every four years. When we look at Facebook that has hundreds of users across the globe. Facebook generates about 500 petabytes of data. And the company also uses big data to handle data needs. In the age of digital technology and social media, the amount of information generated is increasing exponentially. It has now become possible to analyse the data and get insights from it immediately. The concept of big data has been around for several years. Big data, in particular, offers marketers with unmatched data regarding their customers, which opens possibilities of easily recording, tracking and processing massive volumes of data within all actions. Big data solutions include storage, backup, analysis, visualization, as well as administrative controls for enormous volumes of data. Big data solutions make a complicated data infrastructure more efficient. Furthermore, big data technologies allow smart cities to leverage expanded capabilities. Internet of Things (IoT) technologies, smart sensors, smart transportation and other innovations are all part of this. Several companies have emerged over the years to provide solutions for wrangling huge datasets and understanding the relevant information within them. Some offer powerful data analysis tools, while others aggregate and organize datasets into usable formats. Big data has its uses and applications in almost every industry. Big data has a massive contribution to the advancement in technology, growth in business and organizations, profit in each sector, etc. Looking at the non-stop growth and progress of big data, companies started adopting it more frequently. A3logics is a global IT services, consulting, and business solutions company leveraging best-in-class technologies to drive business efficiency. A3logics creates a next-generation space dedicated to aligning IT with business goals. The company's dedicated team of tech-savvy developers and enthusiasts help organizations embrace top solutions, which will help them fulfil their business objectives. A3logics uses artificial intelligence, blockchain, IoT, big data, augmented and virtual reality, etc to come up with software solutions that reflect the future. With the aim to bridge the gap between technology and business needs, the company works as a global provider of innovative solutions.