presentations scale-large-ml-models 
Insight Software
NOVEMBER 20, 2023
Solutions such as BOBJ, Cognos, and OBIE adapted to the requirements of the larger enterprise, introducing rich semantic models, governance capabilities and targeting a far larger audience inside the enterprise by providing capabilities for analysis, pre-built reporting, and automated refreshing, etc.
Whizlabs
APRIL 14, 2021
According to the Google cloud a professional machine learning engineer always helps to design, build, and productionizes the machine learning models to solve various business challenges using Google cloud air technologies and all the knowledge of the machine learning models. . Developing machine learning models. Key results.
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Tableau
FEBRUARY 9, 2021
In a year burdened by fears and uncertainties on a global scale, data-driven insights and its harmful cousin -- misinformation -- both flourished. Going forward we expect that the health delivery system and public health systems will be more closely tied together by rapid-cycle data initiatives on a grand scale. Facts vs. ‘Fake News’.
Sisense
APRIL 26, 2020
It can work easily with most standard analytical models. It can be textual, numbers, dates, or BLOBs (Binary Large OBjects). Cloud data warehouses aggregate data from different sources into a central, consistent data store to support various business, analytics, visualization, AI, and ML purposes. Unstructured data.
Tableau
FEBRUARY 9, 2021
In a year burdened by fears and uncertainties on a global scale, data-driven insights and its harmful cousin -- misinformation -- both flourished. Going forward we expect that the health delivery system and public health systems will be more closely tied together by rapid-cycle data initiatives on a grand scale. Facts vs. ‘Fake News’.
Tableau
FEBRUARY 24, 2021
I presented these results in a research publication entitled “ Passing the Data Baton: A Retrospective Analysis on Data Science Work and Workers ”. I looked across the research literature to pull on threads of various studies and analyses on data science and data scientists to weave together answers to these questions.
Sisense
MARCH 14, 2021
AI-driven analytics is a complex field: The bottom line is that datasets of all kinds are rapidly growing, causing these organizations to investigate big data reporting tools or even approach companies whose whole business model can be summed up as “big data as a service” in order to make sense of them.
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