Big Data and AI have changed the way companies acquire people. Is your organization one of them? Shed some light on this innovation with these valuable tips and gain a better understanding of the implications Big Data and AI can have on your talent acquisition strategy.
How cognitive computing is transforming HR and the employee experienceRichard McColl
As a co-sponsor of a recently published IBM Institute of Business Value (IBV) I was pleased to see the insights support our own IBM HR strategy of aligning cognitive solutions to cloud platforms to create fantastic experiences for our IBM'ers.
How good are you working with intelligent machines?vaxelrod
How good are you at working with intelligent machines?
Our technologies are an extension of us. We have now crossed over to technologies smarter than some of us, but not all of us.
In this presentation Victoria G. Axelrod will give an overview of current technology with an emphasis on the questions we need to be asking to intentionally shape a future already augmented by smart machines and algorithms. Utilizing “systems thinking” and network analysis will be central to framing the discussion.
KM Cafe 10/5/16 Axelrod Becker Consulting
Big Data; Big Potential: How to find the talent who can harness its powerLucas Group
Big Data is in its infancy but it holds great promise. The key to success is finding and keeping the talent with the skills necessary to obtain and analyze the data, ask the right questions, and present findings in a compelling fashion that makes sense for your organization.
"Data Science is highly resourceful when it comes to an understanding of the public and their decisions for service providers' products and services. The top 8 exciting trends that our world will be able to see in Data Science in the coming year of 2021 are discussed here. "
Solve for X with AI: a VC view of the Machine Learning & AI landscapeEd Fernandez
What you'll get from this deck
1. The M&A race for AI: by the numbers
2. Watch out! hype ahead: definitions & disclaimers
3. Machine Learning drivers: why is Machine Learning a ‘thing’ now (vs before)
4. Venture Capital: forming an industry, the AI/ML landscape
5. The One Hundred (+13) AI startups to watch in the Enterprise
6. The great Enterprise pivot: applying Machine Learning at scale
7. - where to go next -
How cognitive computing is transforming HR and the employee experienceRichard McColl
As a co-sponsor of a recently published IBM Institute of Business Value (IBV) I was pleased to see the insights support our own IBM HR strategy of aligning cognitive solutions to cloud platforms to create fantastic experiences for our IBM'ers.
How good are you working with intelligent machines?vaxelrod
How good are you at working with intelligent machines?
Our technologies are an extension of us. We have now crossed over to technologies smarter than some of us, but not all of us.
In this presentation Victoria G. Axelrod will give an overview of current technology with an emphasis on the questions we need to be asking to intentionally shape a future already augmented by smart machines and algorithms. Utilizing “systems thinking” and network analysis will be central to framing the discussion.
KM Cafe 10/5/16 Axelrod Becker Consulting
Big Data; Big Potential: How to find the talent who can harness its powerLucas Group
Big Data is in its infancy but it holds great promise. The key to success is finding and keeping the talent with the skills necessary to obtain and analyze the data, ask the right questions, and present findings in a compelling fashion that makes sense for your organization.
"Data Science is highly resourceful when it comes to an understanding of the public and their decisions for service providers' products and services. The top 8 exciting trends that our world will be able to see in Data Science in the coming year of 2021 are discussed here. "
Solve for X with AI: a VC view of the Machine Learning & AI landscapeEd Fernandez
What you'll get from this deck
1. The M&A race for AI: by the numbers
2. Watch out! hype ahead: definitions & disclaimers
3. Machine Learning drivers: why is Machine Learning a ‘thing’ now (vs before)
4. Venture Capital: forming an industry, the AI/ML landscape
5. The One Hundred (+13) AI startups to watch in the Enterprise
6. The great Enterprise pivot: applying Machine Learning at scale
7. - where to go next -
#AI is About to Reshape the Workplace & Your Organization's #DataStrategySteve Ardire
#AI is About to Reshape the Workplace & Your Organization's #DataStrategy https://shar.es/1C4oQI at #CDOVision http://cdovision2016.dataversity.net/ April 19 - 20 in San Diego
Why is artificial intelligence in business analytics so critical for business...Countants
Be it in the form of deep learning technologies, autonomous vehicles, or smart robots, artificial intelligence (or AI) is making its presence felt everywhere in the connected world. With AI-enabled technologies having a prominent place in the Gartner Hype Cycle for Emerging Technologies, this technology is enhancing the capabilities of business analytics and business intelligence.
201904 How will AI and machine learning transform local search and SMBs? Simon Greenman
From the SIINDA localcomm 2019 conference. We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead of their competitors while looking over their shoulder at startups. And countries are vying for AI supremacy. The question is where does local fit into this new frontier. This session will provide a non-technical introduction to AI and show how value is being created across industries and functions. It will take a deep dive into local and show how AI can be used to drive sales, marketing and customer service; drive efficiencies; deeper insights and competitive differentiation. Weaving in practical case studies it will also look at how the tech giants are becoming AI first companies.
The professionals at Booz Allen Hamilton, a leading strategy and technology consulting firm, understand Cloud Computing. This model has emerged as a new computing paradigm that arrays massive numbers of computers in centralized, distributed data centers to deliver web-based
applications, application platforms, and services via a utility model.
Talent Intelligence: Unlocking People Data to Redefine How Humans Need to WorkCognizant
With the influx of intelligent machines, conventional work models are shifting. Using insights from workforce intelligence, businesses can redefine the employee experience while also driving collaboration, innovation and success across the enterprise.
- Learn to understand what knowledge graphs are for
- Understand the structure of knowledge graphs (and how it relates to taxonomies and ontologies)
- Understand how knowledge graphs can be created using manual, semi-automatic, and fully automatic methods.
- Understand knowledge graphs as a basis for data integration in companies
- Understand knowledge graphs as tools for data governance and data quality management
- Implement and further develop knowledge graphs in companies
- Query and visualize knowledge graphs (including SPARQL and SHACL crash course)
- Use knowledge graphs and machine learning to enable information retrieval, text mining and document classification with the highest precision
- Develop digital assistants and question and answer systems based on semantic knowledge graphs
- Understand how knowledge graphs can be combined with text mining and machine learning techniques
- Apply knowledge graphs in practice: Case studies and demo applications
IW14 Keynote, Michelle Shuttleworth, Deloitte ConsultingSoftware AG
Presentation Title: Tech Trends 2014; Inspiring Disruption
Michelle Shuttleworth, Director, Deloitte Consulting
Innovation World 2014 conference, Oct 13-15, 2014, at the Hyatt Regency New Orleans, produced by Software AG. Three days of vision, inspiration and insight. Innovation World is THE global event for digital leaders who are driven to leverage the Software AG Suite: Alfabet, Apama, ARIS, webMethods, Software AG Live, Terracotta and Adabas-Natural.
As AI become the new general purpose tool like electricity and internet, government and nations are investing billions of dollars into AI. Some countries are regulating it while others wait and see. How would AI affect the society that the government need to think about ? what can the government bodies do and consider in maximising the benefits while minimising the risks and societal cost of AI global wide adoption? This talk reveals the trends, facts and possibilities of AI in the society we live in. Have the courage and curiosity to find out.
The Perfect IT Couple: Service Management Meets Asset ManagementBMC_DSM
Asset management is coming into its own.
There was a time when asset management was not seen as a high priority. Although ITAM has always been multi-dimensional, the truth is, managing assets was often put on the backburner with little thought placed on strategic planning.
Well, that's the past.
Types of Blockchain - permissioned vs. permissionless platforms
Types of AI - Unsupervised, Supervised and Reinforcement Learning, Deep Learning
Future of Blockchain and AI
Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...Dana Gardner
A discussion on how artificial intelligence and advanced analytics solutions coalesce into top competitive differentiators that prove indispensable for digital business transformation.
The deck I presented at the Beyond HR conference in Amsterdam, describes how Artificial Intelligence can be an enabling technology for transforming organizations to innovative ecosystems of networked "microbusinesses".
How do you plan your product strategies? How do you know what skill sets you want to build or how to leverage several of the emerging technology trends? This presentation covers some trends and a few tools to track trends. It is based on a talk I gave at TiE Chennai recently.
How can business professionals succeed in a future with AISemir Jahic
This is the slide deck of a talk given at UCL (University College London) in December 2017. The aim of the talk is to give a very simple overview of AI and its potential future impact on business professionals with a non-technical background.
Sources
Oxford Future of Employment Study (2013), https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
Andrew Ng, https://www.oreilly.com/ideas/ai-is-the-new-electricity
Simple examples, https://medium.com/simple-ai/linear-regression-intro-to-machine-learning-6-6e320dbdaf06
Gartner Hype Cycle, https://www.gartner.com/newsroom/id/3784363
AI technology image, https://trailhead.salesforce.com/modules/ai_basics/units/ai_basics_getstarted
AI startup investments, https://www.cbinsights.com/research/top-acquirers-ai-startups-ma-timeline/
FT Investment in AI, https://www.ft.com/content/856753d6-8d31-11e7-a352-e46f43c5825d
UK Government Report on AI, https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/652097/Growing_the_artificial_intelligence_industry_in_the_UK.pdf
McKinsey AI report, https://www.mckinsey.com/mgi/overview
Economist catalogue of fears, https://www.economist.com/news/special-report/21700758-will-smarter-machines-cause-mass-unemployment-automation-and-anxiety
McKinsey job replacement, https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/where-machines-could-replace-humans-and-where-they-cant-yet
HBR - How to spot an AI opportunity, https://hbr.org/2017/10/how-to-spot-a-machine-learning-opportunity-even-if-you-arent-a-data-scientist
Wired Big Data Meets Big Brother, http://www.wired.co.uk/article/chinese-government-social-credit-score-privacy-invasion
Image Sources
https://upload.wikimedia.org/wikipedia/commons/thumb/f/f6/HAL9000.svg/1200px-HAL9000.svg.png
https://s3media.247sports.com/Uploads/Assets/342/613/5613342.jpg
http://vignette2.wikia.nocookie.net/powerlisting/images/b/bd/Neo_The_One.jpg/revision/latest?cb=20131018055648
https://d15shllkswkct0.cloudfront.net/wp-content/blogs.dir/1/files/2013/12/robot_army.jpg
https://en.oxforddictionaries.com/definition/artificial_intelligence
https://fortunedotcom.files.wordpress.com/2016/03/492682174.jpg
https://galaxyis.com/wp-content/uploads/2017/07/Siri-app.jpg
http://s3files.core77.com/blog/images/549466_81_58982_URtPCkWCG.jpg
https://upload.wikimedia.org/wikipedia/en/2/2a/RegVarneyATM.jpg
http://2.bp.blogspot.com/-KKVISRr3LDc/UTdWQ_fNefI/AAAAAAAAQrE/cgLzhYENj6w/s1600/Harold+Blackman%252C+elevator+operator+Baker+Bldg%252C+1913.JPG
Various images from: https://unsplash.com/
Analytical Storytelling: From Insight to ActionCognizant
Merging the ancient art of storytelling with digital-era data journalism, analytical storytelling makes data-based insights accessible and thus informs and guides skillful and effective decision-making.
#AI is About to Reshape the Workplace & Your Organization's #DataStrategySteve Ardire
#AI is About to Reshape the Workplace & Your Organization's #DataStrategy https://shar.es/1C4oQI at #CDOVision http://cdovision2016.dataversity.net/ April 19 - 20 in San Diego
Why is artificial intelligence in business analytics so critical for business...Countants
Be it in the form of deep learning technologies, autonomous vehicles, or smart robots, artificial intelligence (or AI) is making its presence felt everywhere in the connected world. With AI-enabled technologies having a prominent place in the Gartner Hype Cycle for Emerging Technologies, this technology is enhancing the capabilities of business analytics and business intelligence.
201904 How will AI and machine learning transform local search and SMBs? Simon Greenman
From the SIINDA localcomm 2019 conference. We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead of their competitors while looking over their shoulder at startups. And countries are vying for AI supremacy. The question is where does local fit into this new frontier. This session will provide a non-technical introduction to AI and show how value is being created across industries and functions. It will take a deep dive into local and show how AI can be used to drive sales, marketing and customer service; drive efficiencies; deeper insights and competitive differentiation. Weaving in practical case studies it will also look at how the tech giants are becoming AI first companies.
The professionals at Booz Allen Hamilton, a leading strategy and technology consulting firm, understand Cloud Computing. This model has emerged as a new computing paradigm that arrays massive numbers of computers in centralized, distributed data centers to deliver web-based
applications, application platforms, and services via a utility model.
Talent Intelligence: Unlocking People Data to Redefine How Humans Need to WorkCognizant
With the influx of intelligent machines, conventional work models are shifting. Using insights from workforce intelligence, businesses can redefine the employee experience while also driving collaboration, innovation and success across the enterprise.
- Learn to understand what knowledge graphs are for
- Understand the structure of knowledge graphs (and how it relates to taxonomies and ontologies)
- Understand how knowledge graphs can be created using manual, semi-automatic, and fully automatic methods.
- Understand knowledge graphs as a basis for data integration in companies
- Understand knowledge graphs as tools for data governance and data quality management
- Implement and further develop knowledge graphs in companies
- Query and visualize knowledge graphs (including SPARQL and SHACL crash course)
- Use knowledge graphs and machine learning to enable information retrieval, text mining and document classification with the highest precision
- Develop digital assistants and question and answer systems based on semantic knowledge graphs
- Understand how knowledge graphs can be combined with text mining and machine learning techniques
- Apply knowledge graphs in practice: Case studies and demo applications
IW14 Keynote, Michelle Shuttleworth, Deloitte ConsultingSoftware AG
Presentation Title: Tech Trends 2014; Inspiring Disruption
Michelle Shuttleworth, Director, Deloitte Consulting
Innovation World 2014 conference, Oct 13-15, 2014, at the Hyatt Regency New Orleans, produced by Software AG. Three days of vision, inspiration and insight. Innovation World is THE global event for digital leaders who are driven to leverage the Software AG Suite: Alfabet, Apama, ARIS, webMethods, Software AG Live, Terracotta and Adabas-Natural.
As AI become the new general purpose tool like electricity and internet, government and nations are investing billions of dollars into AI. Some countries are regulating it while others wait and see. How would AI affect the society that the government need to think about ? what can the government bodies do and consider in maximising the benefits while minimising the risks and societal cost of AI global wide adoption? This talk reveals the trends, facts and possibilities of AI in the society we live in. Have the courage and curiosity to find out.
The Perfect IT Couple: Service Management Meets Asset ManagementBMC_DSM
Asset management is coming into its own.
There was a time when asset management was not seen as a high priority. Although ITAM has always been multi-dimensional, the truth is, managing assets was often put on the backburner with little thought placed on strategic planning.
Well, that's the past.
Types of Blockchain - permissioned vs. permissionless platforms
Types of AI - Unsupervised, Supervised and Reinforcement Learning, Deep Learning
Future of Blockchain and AI
Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...Dana Gardner
A discussion on how artificial intelligence and advanced analytics solutions coalesce into top competitive differentiators that prove indispensable for digital business transformation.
The deck I presented at the Beyond HR conference in Amsterdam, describes how Artificial Intelligence can be an enabling technology for transforming organizations to innovative ecosystems of networked "microbusinesses".
How do you plan your product strategies? How do you know what skill sets you want to build or how to leverage several of the emerging technology trends? This presentation covers some trends and a few tools to track trends. It is based on a talk I gave at TiE Chennai recently.
How can business professionals succeed in a future with AISemir Jahic
This is the slide deck of a talk given at UCL (University College London) in December 2017. The aim of the talk is to give a very simple overview of AI and its potential future impact on business professionals with a non-technical background.
Sources
Oxford Future of Employment Study (2013), https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
Andrew Ng, https://www.oreilly.com/ideas/ai-is-the-new-electricity
Simple examples, https://medium.com/simple-ai/linear-regression-intro-to-machine-learning-6-6e320dbdaf06
Gartner Hype Cycle, https://www.gartner.com/newsroom/id/3784363
AI technology image, https://trailhead.salesforce.com/modules/ai_basics/units/ai_basics_getstarted
AI startup investments, https://www.cbinsights.com/research/top-acquirers-ai-startups-ma-timeline/
FT Investment in AI, https://www.ft.com/content/856753d6-8d31-11e7-a352-e46f43c5825d
UK Government Report on AI, https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/652097/Growing_the_artificial_intelligence_industry_in_the_UK.pdf
McKinsey AI report, https://www.mckinsey.com/mgi/overview
Economist catalogue of fears, https://www.economist.com/news/special-report/21700758-will-smarter-machines-cause-mass-unemployment-automation-and-anxiety
McKinsey job replacement, https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/where-machines-could-replace-humans-and-where-they-cant-yet
HBR - How to spot an AI opportunity, https://hbr.org/2017/10/how-to-spot-a-machine-learning-opportunity-even-if-you-arent-a-data-scientist
Wired Big Data Meets Big Brother, http://www.wired.co.uk/article/chinese-government-social-credit-score-privacy-invasion
Image Sources
https://upload.wikimedia.org/wikipedia/commons/thumb/f/f6/HAL9000.svg/1200px-HAL9000.svg.png
https://s3media.247sports.com/Uploads/Assets/342/613/5613342.jpg
http://vignette2.wikia.nocookie.net/powerlisting/images/b/bd/Neo_The_One.jpg/revision/latest?cb=20131018055648
https://d15shllkswkct0.cloudfront.net/wp-content/blogs.dir/1/files/2013/12/robot_army.jpg
https://en.oxforddictionaries.com/definition/artificial_intelligence
https://fortunedotcom.files.wordpress.com/2016/03/492682174.jpg
https://galaxyis.com/wp-content/uploads/2017/07/Siri-app.jpg
http://s3files.core77.com/blog/images/549466_81_58982_URtPCkWCG.jpg
https://upload.wikimedia.org/wikipedia/en/2/2a/RegVarneyATM.jpg
http://2.bp.blogspot.com/-KKVISRr3LDc/UTdWQ_fNefI/AAAAAAAAQrE/cgLzhYENj6w/s1600/Harold+Blackman%252C+elevator+operator+Baker+Bldg%252C+1913.JPG
Various images from: https://unsplash.com/
Analytical Storytelling: From Insight to ActionCognizant
Merging the ancient art of storytelling with digital-era data journalism, analytical storytelling makes data-based insights accessible and thus informs and guides skillful and effective decision-making.
How Big Data Will Change Businesses In 2018Tyrone Systems
In 2018 Big Data will include formerly dark data and virtually every other data platform used by corporations to deliver personalization.
In the world of analytics and computational data, two core concepts divide the medium — structured and unstructured data.Structured data is quickly and easily organized and searchable using basic algorithms and tools. Unstructured data, on the other hand, is more akin to human language. It doesn’t cram neatly into relational databases, nor is it necessarily compatible with algorithmic tools and search functions.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Goodbuzz Inc.
Driving Tangible Value for Business. Briefing Paper. Interest in AI/ML is soaring, but confusion and hype can mask the real benefits of these technologies. Organizations need to identify use cases that will produce value for them, especially in the areas of enhancing processes, detecting anomalies and enabling predictive analytics.
Should I Choose Machine Learning or Big Data?Bernard Marr
Big Data and Machine Learning are two exciting applications of technology that are often mentioned together in the space of the same breath. In reality, there are important distinctions that need to be understood when we are making decisions about our business data strategy.
This emerging tech research from CompTIA describes the growing role of artificial intelligence in the technology strategies that businesses are building.”
The 4 Biggest Trends In Big Data and Analytics Right For 2021Bernard Marr
Big Data is a term that’s come to be used to describe the technology and practice of working with data that’s not only large in volume but also fast and comes in many different forms. For every Elon Musk with a self-driving car to sell, or Jeff Bezos with a cashier-less convenience store, there is a sophisticated Big Data operation and an army of clever data scientists who’ve turned a vision into reality.
Hype vs. Reality: The AI Explainer--- Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
A Guide on How AI Contributes to Businesses in Today’s Era to Watch in 2023.Techugo
Artificial Intelligence and Machine Learning have become the main focus of the scene. Artificial intelligence can be used for a wide variety of uses in business, including streamlining processes and aggregating the performance of companies. Researchers are still determining what AI will mean for businesses shortly. AI is predicted to shift technological advancement away from the traditional two-dimensional screen and towards the three-dimensional physical space surrounding the person.
Although the acceptance by society in general for AI does not mean anything new. The idea itself isn’t. Artificial intelligence is a broad field of business application. Indeed, most of us interact with AI in some way or another. Artificial Intelligence is changing all aspects of business across every industry. To know more, visit the post.
Marketing in the Machine Age: The Path to a More (Artificially) Intelligent F...PR 20/20
Presented at Emarsys Evolution, Aug. 3, 2017
Consider how much time your team spends reviewing marketing analytics, generating data-driven insights and recommendations, and devising intelligent strategies. Now imagine if a machine performed the majority of those activities and a marketer's primary role was to enhance rather than create.
Machines are not going to replace marketers in the near term, but artificial intelligence is accelerating us toward a more intelligently automated future. Come explore the present and future potential of artificial intelligence, and discover AI-powered technologies that can drive marketing performance and transform your career.
* Understand what the disruption of other industries can teach us about the inevitable impact artificial intelligence will have on the marketing industry.
* Learn about the marketing technology companies that are leading the way in advanced automation, predictive analytics and machine-generated content.
* Apply new technologies and processes to make your content marketing more efficient and effective.
Investing in AI: Moving Along the Digital Maturity CurveCognizant
Digitally mature businesses are more likely to consider themselves at an advanced stage of AI adoption, according to our recent study, enabling them to turn data into insights at the scale and precision required today.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
Remote sensing and monitoring are changing the mining industry for the better. These are providing innovative solutions to long-standing challenges. Those related to exploration, extraction, and overall environmental management by mining technology companies Odisha. These technologies make use of satellite imaging, aerial photography and sensors to collect data that might be inaccessible or from hazardous locations. With the use of this technology, mining operations are becoming increasingly efficient. Let us gain more insight into the key aspects associated with remote sensing and monitoring when it comes to mining.
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Buy Verified PayPal Account | Buy Google 5 Star Reviewsusawebmarket
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Explore our most comprehensive guide on lookback analysis at SafePaaS, covering access governance and how it can transform modern ERP audits. Browse now!
Taurus Zodiac Sign_ Personality Traits and Sign Dates.pptxmy Pandit
Explore the world of the Taurus zodiac sign. Learn about their stability, determination, and appreciation for beauty. Discover how Taureans' grounded nature and hardworking mindset define their unique personality.
Accpac to QuickBooks Conversion Navigating the Transition with Online Account...PaulBryant58
This article provides a comprehensive guide on how to
effectively manage the convert Accpac to QuickBooks , with a particular focus on utilizing online accounting services to streamline the process.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
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Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
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In the Dark? Understanding Big Data & AI: Talent Acquisition Strategies for 2018
1.
2. TOPIC | Understanding Big Data
Info that is not organized or easily
interpreted by traditional databases or
data models. Typically, text-heavy.
A variety of data formats and types and
can be derived from interactions between
people and machines.
Big data is a collection of data from traditional and digital sources inside and outside your company that represents a source
for ongoing discovery and analysis. In defining big data, it’s also important to understand the mix of unstructured and multi-
structured data that comprises the volume of information.
UNSTRUCTURED DATA
MULTI/STRUCTURED DATA
EXAMPLES
Email, Video, Webpages,
BIGDATA
EXAMPLES
Web log data, Demographics,
Spreadsheets, eCommerce, Third-party
data (weather, etc.)
Data will grow
by 800% within the next five
years -- and 80% of that data
will be unstructured
(emails, social media posts,
feed videos
and resumes).
3. TOPIC | Using Big Data for TA
Data provides insights on which
social networks and media outlets will be
the best platforms for contacting the best
talent.
Machine learning and AI will be
more effective at reading for
context. HR & TA will be able to
quickly sift through applications.
Narrow but deep, this search
requires less time to verify the skills,
references, and potential of best-match
candidates.
1 2 3
Assists in all 3 stages of TA
60% OF PROFESSIONS will see 1/3 of their essential activities automated
using technology that exists today.
KEYTAKEAWAYS
Big Data analysis and visualization tools help cut through the vast volumes
of applicants who don’t match your hiring needs. Likewise, Big Data can
guide you in building the company’s dream team.
TA analytics using Big Data strengthens brand culture, builds a new
generation of leaders in-house, and delivers ROI to the bottom line.
BIGDATA
4. TOPIC | Identifying and Overcoming Big Data Potholes
COMMON POTHOLE
Getting people onboard with the idea of using
Big Data in hiring. Lack of understanding or
cynical reactions hold back adoption.
COMMON POTHOLE
You’ve got the data, yay! But the trick isn’t
merely in collecting the data–it’s in interpreting
it, and finding the people that can interpret the
big data findings can be difficult
COMMON POTHOLE
Finding the most cost-effective,
easy-to-implement solution to implement big
data use
TIP TO OVERCOME:
The facts speak for themselves: Big Data can
take into account almost over 100,000x more
data than a resume or online profile. Moreover,
it gets smarter over time. It is consistent,
predictable & repeatable.
TIP TO OVERCOME:
Recruiting is moving toward an E2E transaction
model, already in full-effect with companies like
Redfin and Airbnb — both tech companies that
heavily invest in people on both the front- and
back-ends.
TIP TO OVERCOME:
Outsource to a third party. Doing so enables HR
departments to quickly and easily plug in the
power of Big Data without having to take on the
risk and effort of creating an internal Big Data
capability—while still delivering all the value of
such effort.
6. TOPIC | Understanding AI
Artificial Intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring
human intelligence, such as visual perception, speech recognition, decision-making and translation between languages.
Personal assistants (Siri, Alexa, Google Home,
Cortana, Jibo)
Automated vehicles (Google, Tesla, Otto,
Daimler, Volvo)
Unmanned aerial vehicles (Drone planes)
Sales (Amazon Machine Learning, Aerosolve)
Scheduling assistants (x.ai, Clara)
Decision making (Watson, Cycorp)
Recruitment (TalentBin, Juji, Mya)
Customer service (Amelia)
Logistics booking (30 seconds to fly,
SkyscannerBusiness)
Expenses management (Appzen, acebot)
COMMERCIAL FORMS OF AI
AI IN BUSINESS
AI
7. TOPIC | How are Big Data and AI related?
Each year, the amount of data
we produce doubles and it is
predicted that within the next
decade there will be 150 billion
networked sensors (more than 20
times the people on Earth).
BIGDATA
&AI
This data
feeds AI.
Data helps AI devices:
Learn how humans think
and feel
Accelerate their learning
curve
Automate data analysis
The more information there is to
process, the more data the
system is given, the more it
learns and ultimately the more
accurate it becomes. AI is now
capable of learning without
human support.
Example: Google’s DeepMind
algorithm recently taught itself
how to win 49 Atari games.
8. TOPIC | Using AI for Talent Acquisition and Management
Artificial intelligence (AI) has quickly become a welcomed addition to our everyday lives. From social media to automobiles, the
machines are taking over. Certain machines have even found a job in finding jobs. Employers and prospective employees alike
are now exploring the many possibilities of using machine learning technology.
AI
AI for hiring is “hot, and it’s competitive,” says Josh Bersin, principal at Bersin by Deloitte, the HR arm of the consulting
giant. Some 75 startups are now scrambling for a piece of the $100 billion HR assessment market.
SEPARATION/RETIREMENT
Outplacement
Pension administration
Alumni and boomerang hire sourcing
COMPLIANCE AND REPORTING
Monitoring bias
Supervision of employee activities
RISK MANAGEMENT
Retention and attrition analytics
Absence and accident prediction
Fraud detection
RECRUITMENT
Candidate sourcing
Hiring process automation
Agent-led video interviews
Predicting new hire performance
LEARNING AND DEVELOPMENT
Onboarding
Reference information
Personal coaching
PERFORMANCE MANAGEMENT
Objective setting
Capacity predictions
Predicting performance
Team fit psychometrics
ENGAGEMENT AND RECOGNITION
Payroll and benefits automation
Engagement monitoring
AITA
FOR
9. AI
TOPIC | Identifying and Overcoming AI Potholes
POSSIBLE POTHOLE
Insufficient data can lead to poor decisions
POSSIBLE POTHOLE
AI can create biases or be used to discriminate
against certain candidates
POSSIBLE POTHOLE
AI misses out on capturing a candidate’s “soft
skills”: Creativity, Initiate, Assertiveness, etc.
TIP TO OVERCOME:
AI that uses machine learning needs a lot of
data to learn how to screen resumes as
accurately as a human recruiter. Ensure you
have the data needed to run a successful AI
operation.
TIP TO OVERCOME:
Machine Learning, the branch of AI behind face
recognition algorithms, product suggestions,
advertising engines, etc. depends on data to
train and hone its algorithms. However, if the
information fed to these algorithms is
unbalanced, the system will eventually adopt
the covert and overt biases that those data sets
contain.
TIP TO OVERCOME:
Leverage Augmented Intelligence, a hybrid
model that blends AI with human oversight. Or
leave some room to adjust the job’s parameters
so that in-person interviews can provide the
additional data about “soft skills”.
10. AI
TOPIC | What’s the Path to Select & Implement AI?
SOURCING &
SCREENING
CURRENT
Most mature space; several
stand-along and broad-based
tools are available (ATS, Job
boards)
NEXT-GEN TOOLS
Social networks, and data-
driven platforms are evolving
(social talent pools, chatbots
connecting candidates
w/recruiters)
APPLICANT TRACKING &
INTERVIEW SCHEDULING
CURRENT
Flexible breed of ATS and CRM
tools, stand-alone interview
scheduling tools that can integrate
into ATS
NEXT-GEN TOOLS
AI-powered chatbots for candidate
correspondence and tracking;
social media tools for
personalized messaging, self-
scheduling tools, etc.
ASSESSMENT
CURRENT
Several skill-assessment tools
are available; but evaluation is
manual
NEXT-GEN TOOLS
Replying to standard analytics
and AI-based psychometric and
behavioral assessment tools,
video interviewing solutions,
and analytics-based cultural fit
assessment tools.
BACKGROUND CHECKS, OFFER MGMT, ONBOARDING
CURRENT
Flexible breed of ATS and CRM tools, onboarding software that can
integrate into ATS
NEXT-GEN TOOLS
Automated social media and official database search in background
checks, automated offers, chatbots to answer basic HR questions
during onboarding.
11. ADDITIONAL RESOURCES | Articles
ARTICLE
AI: Should We Run
Towards It, From It or Run
in Place?
ARTICLE
Will Artificial Intelligence Take
Over the Recruiting Process?
ARTICLE
Don't Fear AI:
3 Ways Automation will
Improve Hiring and
Onboarding for both…
12. Kim Davis
Vice President, Sales
P: 567.455.5501
M: 419.654.0500
kim.davis@yoh.com
CONNECT WITH ME AT:
https://www.linkedin.com/in/kim-davis-
ab79685/
CONTACT| Questions & Additional Information