OEM Providers, Product Quality Assurance, EMS Worldwide, Finished Goods Videos

Elon Musk: Internal and external alignment in the servitization journey - Overcoming the challenges.
* Barr, P. (1998). Adapting to unfamiliar environmental events: A look at the evolution of interpretation and its role in strategic change. Organization Science, 9, 644–669.�� * Bartunek, J. M., & Moch, M. K. (1987). First-order, second-order, and third-order change and organization development interventions: A cognitive approach. The Journal of Applied Behavioral Science, 23(4), 483–500.�� * Benedettini, O., Neely, A., & Swink, M. (2015). Why do servitized firms fail? A risk-based explanation. International Journal of Operations & Production Management, 35(6), 946–979.�� * Berger, P., & Luckmann, T. (1967). The social construction of reality. New York: Anchor Books.�� * Brummans, B., Putnam, L., Gray, B., Hanke, R., Lewicki, R. J., & Wiethoff, C. (2008). Making sense of intractable multiparty conflict: A study of framing in four environmental disputes. Communication Monographs, 75(1), 25–51.�� * Burton-Jones, A., & Straub, D. W. (2006). Re-conceptualizing system usage: An approach and empirical tests. Information Systems Research, 17(3), 228–246.�� * Chaudhuri, S., Dayal, U., & Narasayya, V. (2011). An overview of business intelligence technology. Communications of the ACM, 54(8), 88.�� * Choo, W. C. (2002). Sensemaking, knowledge creation, and decision making: Organizational knowing as emergent strategy. In C. W. Choo & N. Bontis (Eds.), Strategic management of intellectual capital and organizational knowledge (pp. 79–89). Oxford: Oxford University Press.�� * Davern, M., Shaft, M., & Te’eni, D. (2012). Cognition matters: Enduring questions in cognitive IS research. Journal of the Association for Information Systems, 13, 273–314.�� * Davidson, A. (2002). Technology frames and framing: A socio-cognitive investigation of requirements determination. MIS Quarterly, 26(4), 329–358.�� * Davidson, E. (2006). A technological frames perspective on information technology and organizational change. The Journal of Appli

Feedback and Engagement: Integrating Market and State with People and Community, #Wisdom #Motivation.
Smart Cities / Regions / For Development / Community Building / Learning / Network Mobilization / Innovation / Market Integration 1. Austin, Texas #Austin Collaboration 2. Los Angeles, California #LosAngeles Insight 3. San Diego, California #SanDiego Team Basics 4. Denver, Colorado #Denver Value Propositions 5. Houston, Texas #Houston Software Design 6. Chicago, Illinois #Chicago Community Building 7. New York, New York #NewYork SuperRadiance 8. London, United Kingdom #London Joy 9. Bangkok, Thailand #Bangkok Honor 10. Seoul Korea #Seoul Good Faith 11. Italy / Brasil / Hong Kong #HongKong Integrity 12. Berlin, Germany #Berlin Mindfulness 13. Stockholm, Sweden #Stockholm ComplexSystems 14. Detroit, Michigan #Detroit Multi Objective Optimization 15. Miami, Florida #Miami Family Science 16. Tampa, Florida #Tampa Quantum Chemistry 17. Charlotte, NC #Charlotte Decision Support 18. Richmond, Virginia #Richmond Sustainability 19. Boston, Massachusetts #Boston Learning and Improvement 20. Phoenix, AZ #Phoenix Intelligent Systems 21. Seattle, WA #Seattle Smart City as a Service 22. Portland, OR #Portland Rational Unified Process 23. Vancouver, BC #Vancouver Quantum Optimization 24. Toronto, Ontario #Toronto Health 25. Madrid, Spain #Madrid Quality 26. Mumbai, India #Mumbai Apple Development 27. Kansas City, MO #KansasCity Microsoft Development 28. St. Petersberg, FL #StPetersberg Edge Computing 29. Nashville, Tennesse #Nashville SaaS 30. Netherlands, Israel, Australia #Collaboration 31. Atlanta, Georgia, #Atlanta Oracle 32. Tokyo, Japan #Tokyo Tesla Elon Musk 33. Paris, France #Paris Embedded Systems 34. Cape Town, South Africa #CapeTown Spiritual and Economic Linkages 35. Dubai, UAE #Dubai Cognitive Computing 36. Minneapolis, MN #Minneapolis Rural and Urban Linkages Feedback and Engagement: Integrating Market and State with People and Community, #Wisdom #Motivation. Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell s

Jordan Etem: Christmas Learning.
Smart Cities / Regions / For Development / Community Building / Learning / Network Mobilization / Innovation / Market Integration 1. Austin, Texas #Austin 2. Los Angeles, California #LosAngeles 3. San Diego, California #SanDiego 4. Denver, Colorado #Denver 5. Houston, Texas #Houston 6. Chicago, Illinois #Chicago 7. New York, New York #NewYork 8. London, United Kingdom #London 9. Bangkok, Thailand #Bangkok 10. Seoul Korea #Seoul 11. Italy / Brasil / Hong Kong #HongKong 12. Berlin, Germany #Berlin 13. Stockholm, Sweden #Stockholm 14. Detroit, Michigan #Detroit 15. Miami, Florida #Miami 16. Tampa, Florida #Tampa 17. Charlotte, NC #Charlotte 18. Richmond, Virginia #Richmond 19. Boston, Massachusetts #Boston 20. Phoenix, AZ #Phoenix 21. Seattle, WA #Seattle 22. Portland, OR #Portland 23. Vancouver, BC #Vancouver 24. Toronto, Ontario #Toronto 25. Madrid, Spain #Madrid 26. Mumbai, India #Mumbai 27. Kansas City, MO #KansasCity 28. St. Petersberg, FL #StPetersberg 29. Nashville, Tennesse #Nashville 30. Netherlands, Israel, Australia #Collaboration 31. Atlanta, Georgia, #Atlanta 32. Tokyo, Japan #Tokyo 33. Paris, France #Paris 34. Cape Town, South Africa #CapeTown 35. Dubai, UAE #Dubai 36. Minneapolis, MN #Minneapolis Integrating Market and State with People and Community, with Wisdom and Motivation. Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell selection and resource allocation in LTE-A heterogeneous networks. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC), 2014: IEEE, pp. 976–980.��#Sustainability �Guvenc, I. (2011). Capacity and fairness analysis of heterogeneous networks with range expansion and interference coordination. IEEE Communications Letters, 15(10), 1084–1087.��#Communications * Okino, K., Nakayama, T., Yamazaki, C., Sato, H., & Kusano, Y. (2011). Pico cell range expansion with interference mitigation toward LTE-Advanced heterog

Sheryl Sandberg and Guy Kawasaki: Creating Radiance for People and Community. Holistic Progress with the market.
Sheryl Sandberg and Guy Kawasaki: Creating Radiance for People and Community. Holistic Progress with the market. * Sirower ML (1997) Synergy trap: how companies lose the acquisition game. Simon & Schuster, New York, NY��#Ethics * Slusky AR, Caves RE (1991) Synergy, agency and the determinants of premia paid in mergers. J Ind Econ 39(3):277–296�#DataScience� * Sparks D (1998) Creating and leading strategic combinations. Delta Consulting Group, New York, NY�#DataEngineering� * Stahl GK, Voight A (2008) Do cultural differences matter in mergers and acquisitions? A tentative model for examination. Organ Sci 19:160–176��#DataMining * Stahl GK, Angwin DN, Very P, Gomes E, Weber Y, Tarba SY, Noorderhaven N, Benyamini H, Bouckenooghe D, Chreim S, Durand M, Hassett ME, Kokk G, Mendenhall ME, Mirc N, Miska C, Park KM, Reynolds N-S, Rouzies A, Sarala RM, Seloti SL, Søndergaard M, Yildiz HE (2013) Sociocultural integration in mergers and acquisitions: unresolved paradoxes and directions for future research. Thunderbird Int Bus Rev 55(4):333–356��#Oracle #AI #ValueCreation * Steiner PO (1975) Mergers: motives, effect, policies. University of Michigan Press, Ann Arbor, MI�#Microsoft� * Strikwerda J, Stoelhorst JW (2009) The emergence and evolution of the multidimensional organization. Calif Manag Rev 51(4):11–31��#Intel * Sudarsanam S, Holl P, Salami A (1996) Shareholder wealth gains in mergers: effect of synergy and ownership. J Bus Financ Account 23(5–6):673–698��#AMD * Takeishi A (2001) Bridging inter- and intra-firm boundaries: management of supplier involvement in automobile product development. Strateg Manag J 22(5):403–433��#Tesla * Teece DJ, Pisano G, Shuen A (1997) Dynamic capabilities and strategic management. Strateg Manag J 18:509–533�#Dell� * Thanos IC, Papadakis VM (2012) The use of accounting-based measures in measuring M&A performance: a review of five decades of research. In: Cooper CL, Finkelstein S (ed

Jordan Etem: How do codes of ethics affect management behavior? The Impact of familiar ethics.
Jordan Etem: How do codes of ethics affect management behavior? The Impact of familiar ethics. * Sirower ML (1997) Synergy trap: how companies lose the acquisition game. Simon & Schuster, New York, NY��#Ethics * Slusky AR, Caves RE (1991) Synergy, agency and the determinants of premia paid in mergers. J Ind Econ 39(3):277–296�#DataScience� * Sparks D (1998) Creating and leading strategic combinations. Delta Consulting Group, New York, NY�#DataEngineering� * Stahl GK, Voight A (2008) Do cultural differences matter in mergers and acquisitions? A tentative model for examination. Organ Sci 19:160–176��#DataMining * Stahl GK, Angwin DN, Very P, Gomes E, Weber Y, Tarba SY, Noorderhaven N, Benyamini H, Bouckenooghe D, Chreim S, Durand M, Hassett ME, Kokk G, Mendenhall ME, Mirc N, Miska C, Park KM, Reynolds N-S, Rouzies A, Sarala RM, Seloti SL, Søndergaard M, Yildiz HE (2013) Sociocultural integration in mergers and acquisitions: unresolved paradoxes and directions for future research. Thunderbird Int Bus Rev 55(4):333–356��#Oracle #AI #ValueCreation * Steiner PO (1975) Mergers: motives, effect, policies. University of Michigan Press, Ann Arbor, MI�#Microsoft� * Strikwerda J, Stoelhorst JW (2009) The emergence and evolution of the multidimensional organization. Calif Manag Rev 51(4):11–31��#Intel * Sudarsanam S, Holl P, Salami A (1996) Shareholder wealth gains in mergers: effect of synergy and ownership. J Bus Financ Account 23(5–6):673–698��#AMD * Takeishi A (2001) Bridging inter- and intra-firm boundaries: management of supplier involvement in automobile product development. Strateg Manag J 22(5):403–433��#Tesla * Teece DJ, Pisano G, Shuen A (1997) Dynamic capabilities and strategic management. Strateg Manag J 18:509–533�#Dell� * Thanos IC, Papadakis VM (2012) The use of accounting-based measures in measuring M&A performance: a review of five decades of research. In: Cooper CL, Finkelstein S (eds) Advances in m

Jordan Etem: Organizing Cybersecurity in Action: A Pragmatic, Ethical Reasoning Approach.
Jordan Etem: Organizing Cybersecurity in Action: A Pragmatic, Ethical Reasoning Approach. #Organization #Oracle #Tesla #Microsoft #TeamBasics #Meta #People #Community #Integration #Ethics #CyberSecurity #Dell #Intel * Adams, J.S., Tashchian, A., Shore, T.H.: Codes of ethics as signals for ethical behavior. J. Bus. Ethics 29(3), 199–211 (2001)�#DeepLearning� * Anderson, J.C., Rungtusanatham, M., Schroeder, R.G.: A theory of quality management underlying the deming management method. Acad. Manag. Rev. 19(3), 472–509 (1994)�#ReinforcementLearning� * Argyris, C., Schön, D.: Organizational Learning: A Theory of Action Perspective. Addison-Wesley, Reading (1978)�#Reasoning� * Baskerville, R.: Information warfare: a comparative framework for business information security. J. Inf. Syst. Secur. 1(1), 23–50 (2005)�#Optimization� * Baskerville, R., Rowe, F., Wolff, F.C.: Integration of information systems and cybersecurity countermeasures. ACM SIGMIS Database: DATABASE for Adv. Inf. Syst. 49(1), 33–52 (2018)�#Economics� * Baskerville, R., Spagnoletti, P., Kim, J.: Incident-centered information security: managing a strategic balance between prevention and response. Inf. Manag. 51(1), 138–151 (2014)��#CloudComputing * de Bruijn, H., Janssen, M.: Building cybersecurity awareness: the need for evidence-based framing strategies. Gov. Inf. Q. 34(1), 1–7 (2017)��#FinTech * Canard, F.: “W. E . DEMING, pragmatism and sustainability. In: 17th Annual International Deming Research Seminar, pp. 1–17. HAL Archives-Ouvertes, New York (2011)��#Action * D’Arcy, J., Hovav, A.: Does one size fit all? Examining the differential effects of IS security countermeasures. J. Bus. Ethics 89(SUPPL. 1), 59–71 (2009)� * Deming, W.E.: The New Economics, p. 235. MIT Press, Cambridge (2000)�#Planning� * Depaoli, P., Sorrentino, M., De Marco, M.: Social and ethical shifts in the digital age: digital technologies for governing or digital technolog

Holistic Light. Big Data, Big Wisdom. #Insight #People #Community #MachineLearning
Holistic Light. Big Data, Big Wisdom. #Insight #People #Community #MachineLearning * Stern, J. M., Shiely, J. S., & Ross, I. (2001). The EVA challenge: Implementing value-added change in an organization. New York: John Wiley & Sons.�#Oracle #LarryEllison� * Striteska, M., & Spickova, M. (2012). Review and comparison of performance measurement systems. The Journal of Organizational Management Studies, 2012, 1–13. https://doi.org/10.5171/2012.114900�#Tesla #ElonMusk� * Susilawati, A., Tan, J., Bell, D., & Sarwar, M. (2013). Develop a framework of performance measurement and improvement system for lean manufacturing activity. International Journal of Lean Thinking, 4(1), 51–64. https://doi.org/10.1108/JMTM-06-2017-0098�#Microsoft� * Tennant, C., & Roberts, P. A. (2000). Hoshin kanri: A technique for strategic quality management. Quality Assurance, 8(2), 77–90. https://doi.org/10.1080/105294100317173862��#Meta * Tillema, S., & van der Steen, M. (2015). Co-existing concepts of management control. Management Accounting Research, 27, 67–83. https://doi.org/10.1016/j.mar.2015.01.002��#Intel * Toft, J. S., & Lueg, R. (2015). Does EVA beat earnings? A literature review of the evidence since Biddle et al. (1997). Corporate Ownership and Control, 12(3), 8–18. https://doi.org/10.1016/S0165-4101(98)00010-X��#AMD * Vamsi Krishna Jasti, N., & Kodali, R. (2014). A literature review of empirical research methodology in lean manufacturing. International Journal of Operations & Production Management, 34(8), 1080–1122. https://doi.org/10.1108/IJOPM-04-2012-0169��#EmbeddedSystems #Apple * Venanzi, D. (2012). Financial performance measures and value creation: The state of the art. Milan: Springer.��#JPMorgan * Verweire, K., & Van den Berghe, L. (2004). Performance goals and the strategy formation process. In K. Verweire & L. Van den Berghe (Eds.), Integrated performance management: A guide to strategy implementation (pp. 93–115). Lo

Elon Musk: Enabling Value Stream Mapping for Internal Logistics Using Multi Dimensional Process Mining. #Stakeholders
Elon Musk: Enabling Value Stream Mapping for Internal Logistics Using Multi Dimensional Process Mining. #Stakeholders Schroder, P., Green, B., Grum, N., Fleming, P.: On-line evolution of robust control systems: an industrial active magnetic bearing application. Control Engineering Practice 9(1), 37–49 (2001) Dumas, M., La Rosa, M., Mendling, J., Reijers, H.J.: Fundamentals of Business Process Management. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-662-56509-4 Alkan, B., Vera, D.A., Ahmad, A., Ahmad, B., Harrison, R.: Complexity in manufacturing systems and its measures: a literature review. EJIE 12, 116–150 (2018) Fox, F., Aggarwal, V.R., Whelton, H., Johnson, O.: A data quality framework for process mining of electronic health record data. In: 2018 IEEE International Conference on Healthcare Informatics, NJ, pp. 12–21. IEEE (2018) Schuh, G., Reuter, C., Prote, J.-P., Brambring, F., Ays, J.: Increasing data integrity for improving decision making in production planning and control. CIRP Ann. 66, 425–428 (2017) Schuh, G., Thomas, C., Hauptvogel, A., Brambring, F.: Achieving higher scheduling accuracy in production control by implementing integrity rules for production feedback data. Procedia CIRP 19, 142–147 (2014) * Stern, J. M., Shiely, J. S., & Ross, I. (2001). The EVA challenge: Implementing value-added change in an organization. New York: John Wiley & Sons.�#Oracle� * Striteska, M., & Spickova, M. (2012). Review and comparison of performance measurement systems. The Journal of Organizational Management Studies, 2012, 1–13. https://doi.org/10.5171/2012.114900�#Tesla� * Susilawati, A., Tan, J., Bell, D., & Sarwar, M. (2013). Develop a framework of performance measurement and improvement system for lean manufacturing activity. International Journal of Lean Thinking, 4(1), 51–64. https://doi.org/10.1108/JMTM-06-2017-0098�#Microsoft� * Tennant, C., & Roberts, P. A. (2000). Hoshin kanri: A technique for strategic qual

Team Basics: Improving as a whole with evolved innovation. #DeepLearning #Engineering #Breakthroughs
Team Basics: Improving as a whole with evolved innovation. #DeepLearning #Engineering #Breakthroughs * 1.�Ben-Ari M (2008) Mathematical logic for computer science, 2nd edn. Springer International, London. ISBN-978-81-8128-344-3�#Logic� * 2.�Chowdhary KR (2012) Fundamentals of discrete mathematical structures, 2nd edn. EEE PHI India. ISBN: 978-81-203-4506-5�#Structure� * 3.�Cohen PJ (2008) Set theory and the continuum hypothesis. Dover, New York�#SetTheory� * 4.�Davis M, Putnam H (1960) A computing procedure for quantification theory. J ACM 7(3):201–215. https://doi.org/10.1145/321033.321034�#QuantificationTheory� * 5.�Gelder AV (1991) The well-founded semantics for general logic programs. J ACM 38(3):620–650�#Semantics� * 6.�Hilbert D (2005) The foundations of geometry. Ebook # 17384�#Reasoning #GeometricComplexity� * 7.�Kaushik S (2002) Logic and prolog programming. New Age International, New Delhi�#EmbeddedSystems� * 8.�Puppes P (1972) Axiomatic set theory. Dover, New York�#DataAnalytics� * 9.�Shankar N (2009) Automated deduction for verification. ACM Comput Surv 41(4):20:1. �#Transactions * 1.�Bborrajo D et al (2015) Progress in case-based planning. ACM Comput Surv 47(35):1–35�#Planning #Guidance #CaseBased� * 2.�Bonet B, Geffner H (2001) Planning as heuristic search. Artifi Intell 129:5–33�#Family� * 3.�Dean T (1996) Automated planning. ACM Comput Surv 28(1):85–88�#Vacations #Meetings #Conferences #Development � * 4.�Fikes RE, Nilsson NJ (1971) STRIPS: a new approach to the application of theorem proving to problem solving. Artifi Intell 2:189–208�#Innovation #WellsFargo� * 5.�Jonsson P et al (2000) Towards efficient universal planning: a randomized approach. Artifi Intell 117:1–29��#ProblemSolving #Oracle * 6.�Kaelbling LP et al (1998) Planning and acting in partially observable stochastic domains. Artifi Intell 101:99–134�#Operations� * 7.�Kambhamp

Oracle and Tesla: Securing internet of things from the ground up. �Diffusion of Innovation, Big Value for Economy and Community. Smart City as a Service. #DeepLearning
Oracle and Tesla: Securing internet of things from the ground up. �Diffusion of Innovation, Big Value for Economy and Community. Smart City as a Service. #DeepLearning #USA #SmartCities #Developers #Businesses #Innovation #CloudComputing #Technology #Infrastructure #SaaS #Chemistry #Catalyst #WinningDynamics #RayDalio #ElonMusk #LarryEllison #Tesla #Oracle #Databases #Feedback #ComputerVision Improving Services, Holistic Decision Making, Breakthrough progress, Sensible Planning, Real Innovation. Integrating Market and State with People and Community, with Wisdom and Motivation. Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell selection and resource allocation in LTE-A heterogeneous networks. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC), 2014: IEEE, pp. 976–980.��#Sustainability �Guvenc, I. (2011). Capacity and fairness analysis of heterogeneous networks with range expansion and interference coordination. IEEE Communications Letters, 15(10), 1084–1087.��#Communications * Okino, K., Nakayama, T., Yamazaki, C., Sato, H., & Kusano, Y. (2011). Pico cell range expansion with interference mitigation toward LTE-Advanced heterogeneous networks. In 2011 IEEE international conference on communications workshops (ICC), 2011: IEEE, pp. 1–5.�� * Tefft, J. R., & Kirsch, N. J. (2013). A proximity-based Q-learning reward function for femtocell networks. In 2013 IEEE 78th vehicular technology conference (VTC Fall), 2013: IEEE, pp. 1–5.�#Innovation� * Saad, H., Mohamed, A., & ElBatt, T. (2012). Distributed cooperative Q-learning for power allocation in cognitive femtocell networks. In 2012 IEEE vehicular technology conference (VTC Fall), 2012: IEEE, pp. 1–5.�#Cooperation #Infrastructure� * Wen, B., Gao, Z., Huang, L., Tang, Y., & Cai, H. (2014). A Q-learning-based downlink resource scheduling method for capacity optimization in LTE femtocells. In 2014 9th

Team Basics: Edge, Security, Cloud, Data. Holistic Development with Community.
Team Basics: Edge, Security, Cloud, Data. Holistic Development with Community. Chandra, Y. (2017). Social entrepreneurship as emancipatory work. Journal of Business Venturing, 32(6), 657–673. Connecting People, Building Relationships: Elon Musk, Tesla Julie Sweet, Accenture Ray Dalio #Principles Lisa Su, AMD Marissa Mayer #Catalyst Safra Catz, Oracle �Connecting Communities, Strengthening Collaboration: #USA #Israel #Italy #Europe #SmartCities #Developers #Businesses Improving Services, Holistic Decision Making, Breakthrough progress, Sensible Planning, Real Innovation. Integrating Market and State with People and Community, with Wisdom and Motivation. Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell selection and resource allocation in LTE-A heterogeneous networks. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC), 2014: IEEE, pp. 976–980.��#Sustainability �Guvenc, I. (2011). Capacity and fairness analysis of heterogeneous networks with range expansion and interference coordination. IEEE Communications Letters, 15(10), 1084–1087.��#Communications * Okino, K., Nakayama, T., Yamazaki, C., Sato, H., & Kusano, Y. (2011). Pico cell range expansion with interference mitigation toward LTE-Advanced heterogeneous networks. In 2011 IEEE international conference on communications workshops (ICC), 2011: IEEE, pp. 1–5.�� * Tefft, J. R., & Kirsch, N. J. (2013). A proximity-based Q-learning reward function for femtocell networks. In 2013 IEEE 78th vehicular technology conference (VTC Fall), 2013: IEEE, pp. 1–5.�#Innovation� * Saad, H., Mohamed, A., & ElBatt, T. (2012). Distributed cooperative Q-learning for power allocation in cognitive femtocell networks. In 2012 IEEE vehicular technology conference (VTC Fall), 2012: IEEE, pp. 1–5.�#Cooperation #Infrastructure� * Wen, B., Gao, Z., Huang, L., Tang, Y., & Cai, H. (2014). A Q-learning-based downlink reso

Clay Magouyrk and Safra Catz: Building spiritual and economic linkages between Stockholm and Milan. #Community
Clay Magouyrk and Safra Catz: Building spiritual and economic linkages between Stockholm and Milan. #Community �Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell selection and resource allocation in LTE-A heterogeneous networks. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC), 2014: IEEE, pp. 976–980.��#Sustainability �Guvenc, I. (2011). Capacity and fairness analysis of heterogeneous networks with range expansion and interference coordination. IEEE Communications Letters, 15(10), 1084–1087.��#Communications * Okino, K., Nakayama, T., Yamazaki, C., Sato, H., & Kusano, Y. (2011). Pico cell range expansion with interference mitigation toward LTE-Advanced heterogeneous networks. In 2011 IEEE international conference on communications workshops (ICC), 2011: IEEE, pp. 1–5.�� * Tefft, J. R., & Kirsch, N. J. (2013). A proximity-based Q-learning reward function for femtocell networks. In 2013 IEEE 78th vehicular technology conference (VTC Fall), 2013: IEEE, pp. 1–5.�#Innovation� * Saad, H., Mohamed, A., & ElBatt, T. (2012). Distributed cooperative Q-learning for power allocation in cognitive femtocell networks. In 2012 IEEE vehicular technology conference (VTC Fall), 2012: IEEE, pp. 1–5.�#Cooperation #Infrastructure� * Wen, B., Gao, Z., Huang, L., Tang, Y., & Cai, H. (2014). A Q-learning-based downlink resource scheduling method for capacity optimization in LTE femtocells. In 2014 9th international conference on computer science & education, 2014: IEEE, pp. 625–628.�#Resources #IT #Capacity� * Galindo-Serrano, A., & Giupponi, L. (2010). Distributed Q-learning for interference control in OFDMA-based femtocell networks. In 2010 IEEE 71st vehicular technology conference, 2010: IEEE, pp. 1–5.�#Technology� * Guo, D., Tang, L., Zhang, X., & Liang, Y.-C. (2020). Joint optimization of handover control and power allocation based on multi-agent deep reinforc

Julie Sweet and Safra Catz: Building spiritual and economic linkages between India, Israel, and the United States. #Values #Reasoning #Connection
Julie Sweet and Safra Catz: Building spiritual and economic linkages between India, Israel, and the United States. #Values #Reasoning #Connection * 1.�Dean, J., Ghemawat, S.: Mapreduce: simplifified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)�#Data� * 2.�Isard, M., Budiu, M., Yu, Y., Birrell, A., Fetterly, D.: Dryad: distributed data-parallel programs from sequential building blocks. ACM SIGOPS Oper. Syst. Rev. 41(3), 59–72 (2007) #Programming� * 3.�Saha, B., Shah, H., Seth, S., Vijayaraghavan, G., Murthy, A., Curino, C.: Apache tez: a unifying framework for modeling and building data processing applications. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 1357–1369. ACM (2015)�#CloudComputing #DataAnalytics #Oracle� * 4.�Zaharia, M., Chowdhury, M., Franklin, M.J., Shenker, S., Stoica, I.: Spark: cluster computing with working sets. In: Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing, vol. 10, p. 10 (2010)�#AbundantNumbers #Solutions #PayToSource #PayPal #WellsFargo #JPMorgan #Oracle #Tesla � * 5.�Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The hadoop distributed fifile system. In: 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp. 1–10. IEEE (2010)�#FunctionalProgramming � * 6.�Qian, Z., et al.: Timestream: reliable stream computation in the cloud. In: Proceedings of the 8th ACM European Conference on Computer Systems, pp. 1–14. ACM (2013)�#USA #Economy #Growth #Development � * 7.�Akidau, T., et al.: Millwheel: fault tolerant stream processing at internet scale. Proc. VLDB Endowment 6(11), 1033–1044 (2013)�#EuropeanCommission #USA #Canada #Alliances #Relationships � * 8.�Apache storm. https://storm.apache.org/. Accessed 20 Apr 2016�� * 9.�Neumeyer, B., Robbins, A.N., Kesari, A.: S4: distributed stream computing platform. In: 2010 IEEE International Conference on Data Mining Wor

Jason Williamson and Safra Catz: Creating a Shared Sense of Time. Forging Economic and Spiritual Linkages for a Thriving Ecosystem and Team Success
Jason Williamson and Safra Catz: Creating a Shared Sense of Time. Forging Economic and Spiritual Linkages for a Thriving Ecosystem and Team Success #Oracle #Spiritual #Economic #Linkages #DeepLearning * 1.�Dean, J., Ghemawat, S.: Mapreduce: simplifified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)�� * 2.�Isard, M., Budiu, M., Yu, Y., Birrell, A., Fetterly, D.: Dryad: distributed data-parallel programs from sequential building blocks. ACM SIGOPS Oper. Syst. Rev. 41(3), 59–72 (2007)� * 3.�Saha, B., Shah, H., Seth, S., Vijayaraghavan, G., Murthy, A., Curino, C.: Apache tez: a unifying framework for modeling and building data processing applications. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 1357–1369. ACM (2015)�� * 4.�Zaharia, M., Chowdhury, M., Franklin, M.J., Shenker, S., Stoica, I.: Spark: cluster computing with working sets. In: Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing, vol. 10, p. 10 (2010)�� * 5.�Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The hadoop distributed fifile system. In: 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp. 1–10. IEEE (2010)�� * 6.�Qian, Z., et al.: Timestream: reliable stream computation in the cloud. In: Proceedings of the 8th ACM European Conference on Computer Systems, pp. 1–14. ACM (2013)�� * 7.�Akidau, T., et al.: Millwheel: fault tolerant stream processing at internet scale. Proc. VLDB Endowment 6(11), 1033–1044 (2013)�� * 8.�Apache storm. https://storm.apache.org/. Accessed 20 Apr 2016�� * 9.�Neumeyer, B., Robbins, A.N., Kesari, A.: S4: distributed stream computing platform. In: 2010 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 170–177. IEEE (2010)�� * 10.�Kulkarni, S., et al.: Twitter heron: stream processing at scale. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Da

Ray Dalio: Extending Smart City as a Service, Smart Community as a Service, for Learning and Evolution in Kentucky.
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