Algorithm Business Intelligence Knowledge 
Smart Data Collective
JUNE 10, 2022
The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications. Business Intelligence Developer. Data Analyst.
CIO
SEPTEMBER 14, 2023
This IT role requires a significant set of technical skills, including deep knowledge of SQL database design and multiple programming languages. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO
DECEMBER 14, 2023
Answers comes with semantically relevant information, citing the knowledge sources used to craft the answers, the company said. Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, Enterprise Applications
CIO
APRIL 22, 2022
Candidates with a statistics background are popular, especially if they can demonstrate they know whether they are looking at real results; have domain knowledge to put results in context; and communication skills that allow them to convey results to business users.
CIO
JANUARY 24, 2024
That decade has given us newfound ways to use AI—from apps that know what you’ll type next, to cars that drive themselves and algorithms for scientific breakthroughs. Model sizes: Uses algorithmic and statistical methods rather than neural network models. It’s the culmination of a decade of work on deep learning AI.
CIO
MARCH 21, 2022
As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. It requires being selfless, embracing feedback, and sharing knowledge with your team, says Chen.
CIO
DECEMBER 19, 2024
This is where machine learning algorithms become indispensable for tasks such as predicting energy loads or modeling climate patterns. Skills in Python, R, TensorFlow, and Apache Spark enable professionals to build predictive models for energy usage, optimize resource allocation, and analyze environmental impacts.
Expert insights. Personalized for you.
360 
Let's personalize your content