Machine learning has been an experimental concept and the object of fantasy and entertainment for many years. With advancements in hardware and software technology and the availability of big data, harnessing the power of machine learning to make intuitive, human like decisions has become a reality in recent years. This progress has excited the interest of leading technology companies and investors, who have made significant investment in machine learning.
We will deep dive what being business ready for the future means by gaining practical experience in machine learning.
The last three decades have created many tipping points in technology that have evolved the growth of data management including data warehousing. Organisations have invested millions into creating data warehouses and these investments need to be leveraged for solving the right problems.
We look at the concept and evolution of the data warehousing, big data and cloud, and how you can incorporate these into your organisation. We unpack the traditional vs new techniques in data warehousing debate; as well as their practicality and applicability to your organisation. This course will provide clarity on how new data technologies can integrate with traditional data warehouses.
If you were to ask a hundred people what Data Science is – and more importantly, to state its value – you’d likely get a hundred different answers. Data Science is too important to be so elusive. This course remedies that by defining the value and explaining the technology behind it.
All managers need a working knowledge of the latest trends in technology to be effective. Likewise, data science practitioners must seek a better understanding of the strategic value of the technology for which they are responsible. Thus, this course was developed to strike that balance, and to be equally useful for both leadership and practitioners.
Those still struggling to find a valid rationalisation of Data Science and the confidence to make clear decisions about its use will find answers here. This event will distinguish what’s real and what’s not, and what makes data science worth the investment. This course gives a high-level, yet comprehensive overview of data science and associated analytics, and methodically addresses each of these issues from a strategic, value-focused perspective.