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Listen to the new episode on HumAIn podcast as I host Beth Partridge from Milk+Honey who shares her two cents on talent race for enterprise AI and strategy.
#Datascienceteams#AIresearchteams#MilkHoney http://www.humainpodcast.com/episode/how-enterprises-can-build-data-science-and-ai-teams-with-beth-partridge/ …pic.twitter.com/7MTicBYIaP
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The Coronavirus has caused fear in China and other parts of the globe as the virus continues to spread. What lessons can be learned with respect to using technology in healthcare to protect against pandemics?
#Coronavirus#Specialedition#AI#HumAInhttps://lnkd.in/eTFKrryHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
As
#AI generates more information, let’s not forget about the prevailing risks. From#Amazon and its faulty AI hiring algorithm that discriminated females, to sexist concerns from#Apple’s credit card, we need to understand data systems management. https://buff.ly/2OaFtZv pic.twitter.com/Lo6LSLj1ys
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Ever wondered about the risk of exposing algorithms? Companies grapple with data transparency and fairness given its importance in business sustainability and market reputation among other factors. This calls for best practices in
#DataScience https://buff.ly/2OaFtZv pic.twitter.com/CINTToBxJ9
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The adoption of virtual and augmented reality will transform manufacturing because of simulated environments that enable design. Production of innovative products determines enterprise competitiveness and the same is true in the manufacturing sector. https://buff.ly/2O4oube pic.twitter.com/iXK9xODkao
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Bluedot is an AI start-up that predicted the outbreak of Coronavirus. Listen to the latest updates on the Coronavirus on the HumAIn Podcast and learn how technology offers the best solutions to manage pandemics.
#Coronavirus#Specialedition#HumAIn#AIhttps://lnkd.in/eTFKrryHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Technological innovation comes with its own hype and controversies and AI faces a similar fate. When you look at everything around you, AI is closer to us more than ever. https://towardsdatascience.com/ai-tech-debrief-roundup-18ce90dd5eef …pic.twitter.com/cfwsxWP1jr
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The Data science industry is fast changing as skills evolve and companies adopt new hiring techniques. Our guest for the new HumAIn Podcast episode is Beth Partridge, CEO at Milk+Honey.
#AI#Bethpartridge#HumAIn http://www.humainpodcast.com/episode/how-enterprises-can-build-data-science-and-ai-teams-with-beth-partridge/ …pic.twitter.com/lsD8TkqBpv
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According to reports, the adoption of 5G has been much higher in South Korea and China as compared to the USA. With speeds estimated at 10Gbps, 5G networks will be faster than broadband services from Verizon, Time Warner, and Comcast. Are you 5G ready? https://buff.ly/2O4oube pic.twitter.com/m7ODnlk8m5
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Special Edition: Learn on HumAIn Podcast how big data and AI technologies offer healthcare solutions by predicting diseases. I also explore start-ups such as Bluedot that develop AI solutions for disease management. https://lnkd.in/eTFKrry
#AIsolutions#Coronavirus#HumAInHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Big data is everywhere, and every data scientist needs knowledge in cleaning, sorting and managing structured and unstructured sets of data. Data scientists rely on programming and data wrangling skills to handle data samples. Full analysis on medium: https://buff.ly/3apS98h pic.twitter.com/ppmthQmiZe
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ML engineers and data scientists work as developers and through agile workflows and sprints, they can refine their codebase elements. A data scientist should understand agile work patterns based on the scrum approach to achieve optimal results. https://buff.ly/3apS98h pic.twitter.com/en1SwvJyi0
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GitHub is among the best-preferred platforms for data scientists as the era of developer tools kicks in. Alternatives such as Gitlab are growing in popularity. Every data scientist works with developer tools and Git is an essential part of the workflow. https://buff.ly/3apS98h pic.twitter.com/Awiye8hUVe
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Do you want an easier way for managing software versions? Then Github is the best because of mapping adjustments implemented in code and the simplicity of coordinating with developers. Check out more insights on my medium piece: https://buff.ly/3apS98h pic.twitter.com/T8Rjwbd80y
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AI is a technology capable of predicting and tracking diseases. What happens when outbreaks emerge and lives are stake?
#AI technology offers solutions by modelling outbreaks e.g the CoronaVirus in China. https://lnkd.in/eTFKrry#AImodelling#Coronavirus#TechnologysolutionsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Artificial intelligence continues to transform our lives by making everything around us convenient. From business management, healthcare, warfare and education, AI is creating new opportunities. https://towardsdatascience.com/ai-tech-debrief-roundup-18ce90dd5eef …
#Artificialintelligence#EvolutionofAI#ValueadditionofAIpic.twitter.com/qo1VfM4ZrM
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NEW EPISODE RELEASE Is data science the sexiest job of the century? Our guest speaker for HumAIn is Beth Partridge, CEO at Milk+Honey who shares her expertise in the talent race for enterprise AI and strategy.
#Bethpartridge#Datascience#HumAIn#AI http://www.humainpodcast.com/episode/how-enterprises-can-build-data-science-and-ai-teams-with-beth-partridge/ …pic.twitter.com/JcNeuc4bF5
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Human health is critical for socioeconomic development and disease outbreaks cause panic like the Corona virus in China. According to WHO, the virus is spreading with estimated deaths of 250 people. What next? https://lnkd.in/eTFKrry
#Diseasemanagement#Coronavirus#AIsolutionsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
If you ask the average person for a definition of
#artificialintelligence (AI), you're likely to receive answers that boil down to the same concept:#robots. Most nonexperts are still receiving their information on#AI from#sciencefiction films and clickbait articles.pic.twitter.com/MnWNtDP8fQ
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#IBM called for rules aimed at eliminating bias in#artificialintelligence to ease concerns that the#technology relies on#data that bakes in past discriminatory practices and could harm women, minorities, the disabled, older Americans and others. Do you agree with IBM?pic.twitter.com/Id5BaV5pCg
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