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What's coming for the channel in 2021

ZDNet

For the channel, 2020 was a tale of two cities. On one hand, customers and governments recognized partners as an essential service and central to their ability to rapidly respond to a worsening pandemic. On the other, customer demand shifted to automation, cloud acceleration, customer/employee experience, and e-commerce/marketplaces, where many technology channel parts were left in the cold. The industry experienced a "K-shaped" recovery where partners who had skills, resources, and prebuilt practices around the business needs of their customers excelled with double- (and sometime triple-) digit growth. Yet many smaller VARs and MSPs were down by double digits, relying on government, vendor, and distributor funding to survive.


Transforming the energy industry with AI

MIT Technology Review

However, most companies don't have the resources to implement sophisticated AI programs to stay secure and advance digital capabilities on their own. Irrespective of size, available budget, and in-house personnel, all energy companies must manage operations and security fundamentals to ensure they have visibility and monitoring across powerful digital tools to remain resilient and competitive. The achievement of that goal is much more likely in partnership with the right experts. MIT Technology Review Insights, in association with Siemens Energy, spoke to more than a dozen information technology (IT) and cybersecurity executives at oil and gas companies worldwide to gain insight about how AI is affecting their digital transformation and cybersecurity strategies in oil and gas operating environments. Energy sector organizations are presented with a major opportunity to deploy AI and build out a data strategy that optimizes production and uncovers new business models, as well as secure operational technology. Oil and gas companies are faced with unprecedented uncertainty--depressed oil and gas prices due to the coronavirus pandemic, a multiyear glut in the market, and the drive to go green--and many are making a rapid transition to digitalization as a matter of survival.


Raising standards for global data-sharing

Science

In their Policy Forum “How to fix the GDPR's frustration of global biomedical research” (2 October 2020, p. [40][1]), J. Bovenberg et al. argue that the biomedical research community has struggled to share data outside the European Union as a result of the EU's General Data Protection Regulation (GDPR), which strictly limits the international transfer of personal data. However, they do not acknowledge the law's flexibility, and their solutions fail to recognize the importance of multilateral efforts to raise standards for global data-sharing. Bovenberg et al. express concern about the thwarting of “critical data flows” in biomedical research. However, the limited number of critical commentaries ([ 1 ][2], [ 2 ][3]) and registered complaints ([ 3 ][4]) indicate that hindered data exchange may not be a substantial global problem. Moreover, the authors concede that during the COVID-19 pandemic, data transfers remain ongoing because transfers “necessary for important reasons of public interest” are already provided in the law [([ 4 ][5]), Article 49(1)(d)]. The European Data Protection Board (EDPB) has cautioned that transfers according to this derogation shall not become the rule in practice ([ 5 ][6]), but this conditional support for international COVID-19 data sharing shows that the law already provides suitable flexibility. This flexibility also shows the EDPB's recognition of the pressing social need that biomedical research represents for the global research community during the COVID-19 pandemic, while also seeking to ensure that this remains the exception and not the beginning of a normalized practice. Bovenberg et al. contend that pseudonymized data should not be considered personal data in the hands of an entity that does not possess the key needed for re-identification. This proposal runs against well-established guidance in EU member states such as Ireland ([ 6 ][7]) and Germany ([ 7 ][8]), and it does not take into account the cases in which identifiers remain attached to transferred biomedical data or in which data could be identified without a key. Bovenberg et al. also neglect to state that the GDPR has special principles and safeguards for particularly sensitive re-identifiable data, not just for the protection of privacy but also for the security and integrity of health research data—aims that align with all high-quality scientific research. Respecting these standards (both technical and organizational) is fundamental to ensuring better data security and accuracy in the transferring of huge datasets of sensitive health data that are essential to global collaboration [([ 4 ][5]), Articles 5 and 9, Recitals 53 and 54, and ([ 8 ][9])]. Thus, these rules should not be subject to exemptions, which would result from not classifying pseudonymized data as personal data. The purpose of the GDPR's strict rules is to ensure that when personal data are transferred to non-EU countries, the level of protection ensured in the European Union is not undermined. The EU's Court of Justice decisions ([ 9 ][10], [ 10 ][11]) make it clear that ensuring an adequate level of protection in non-EU countries, especially independent oversight and judicial remedies—which the Court found lacking in the United States—is a matter of fundamental rights. This discrepancy is an opportunity for non-EU countries, including the United States, to raise their data protection standards to the level of the European Union's, not for the European Union to decrease its own standards in a regulatory race to the bottom. We encourage research organizations and country delegations to work with the European Commission, national data protection authorities, and the EDPB to craft interoperable rules on data sharing applicable for biomedical research in ways that do not undermine fundamental rights owed to data subjects. 1. [↵][12]1. R. Eiss , Nature 584, 498 (2020). [OpenUrl][13] 2. [↵][14]1. R. Becker et al ., J. Med. Internet Res. 22, e19799 (2020). [OpenUrl][15] 3. [↵][16]1. A. Jelinek , EDPB response letter to Mark W. Libby, Chargé d'Affaires, United States Mission to the European Union (2020); [https://edpb.europa.eu/sites/edpb/files/files/file1/edpb\_letter\_out2020-0029\_usmission\_covid19.pdf][17]. 4. [↵][18]GDPR (2016); . 5. [↵][19]EDPB, “Guidelines 03/2020 on the processing of data concerning health for the purpose of scientific research in the context of the COVID-19 outbreak” (2020). 6. [↵][20]Data Protection Commission, “Guidance on Anonymisation and Pseudonymisation” (2019); [www.dataprotection.ie/sites/default/files/uploads/2019-06/190614%20Anonymisation%20and%20Pseudonymisation.pdf][21]. 7. [↵][22]German Federal Ministry of the Interior, Building and Community, “Draft for a Code of Conduct on the use of GDPR compliant pseudonymisation” (2019); [www.gdd.de/downloads/aktuelles/whitepaper/Data\_Protection\_Focus\_Group-Draft\_CoC\_Pseudonymisation\_V1.0.pdf][23]. 8. [↵][24]1. D. Anderson et al ., Int. Data Privacy L. 10, 180 (2020). [OpenUrl][25] 9. [↵][26]Case C-362/14 Maximilian Schrems v. Data Protection Commissioner (Court of Justice of the EU, 2015). 10. [↵][27]Case C-311/18 Data Protection Commissioner v. Facebook Ireland Limited and Maximillian Schrems (Court of Justice of the EU, 2020). [1]: http://www.sciencemag.org/content/370/6512/40 [2]: #ref-1 [3]: #ref-2 [4]: #ref-3 [5]: #ref-4 [6]: #ref-5 [7]: #ref-6 [8]: #ref-7 [9]: #ref-8 [10]: #ref-9 [11]: #ref-10 [12]: #xref-ref-1-1 "View reference 1 in text" [13]: {openurl}?query=rft.jtitle%253DNature%26rft.volume%253D584%26rft.spage%253D498%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [14]: #xref-ref-2-1 "View reference 2 in text" [15]: {openurl}?query=rft.jtitle%253DJ.%2BMed.%2BInternet%2BRes.%26rft.volume%253D22%26rft.spage%253De19799%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [16]: #xref-ref-3-1 "View reference 3 in text" [17]: https://edpb.europa.eu/sites/edpb/files/files/file1/edpb_letter_out2020-0029_usmission_covid19.pdf [18]: #xref-ref-4-1 "View reference 4 in text" [19]: #xref-ref-5-1 "View reference 5 in text" [20]: #xref-ref-6-1 "View reference 6 in text" [21]: http://www.dataprotection.ie/sites/default/files/uploads/2019-06/190614%20Anonymisation%20and%20Pseudonymisation.pdf [22]: #xref-ref-7-1 "View reference 7 in text" [23]: http://www.gdd.de/downloads/aktuelles/whitepaper/Data_Protection_Focus_Group-Draft_CoC_Pseudonymisation_V1.0.pdf [24]: #xref-ref-8-1 "View reference 8 in text" [25]: {openurl}?query=rft.jtitle%253DInt.%2BData%2BPrivacy%2BL.%26rft.volume%253D10%26rft.spage%253D180%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [26]: #xref-ref-9-1 "View reference 9 in text" [27]: #xref-ref-10-1 "View reference 10 in text"


What can we expect from Automation in 2021?

#artificialintelligence

This year saw automation become a mainstream tech trend, with the COVID pandemic causing nation-wide shutdowns. As employees were isolated in their houses, IT companies switched to the work from home model. However, the same could not be replicated in the manufacturing and other secondary industries. This is why, business leaders had to adopt automation practices to sustain their businesses and enable smoother operation of organizational practices (including IT). This trend will not end here.


2021 outlook: Here are the technologies, questions that'll matter

ZDNet

In 2020, businesses had to be digital or die. Digital transformation drove technology projects, remote work and education became the norm due to the COVID-19 pandemic and building block technologies such as cloud computing, artificial intelligence, and machine learning accelerated. Bret Taylor, president and chief operating officer of Salesforce, summed the current state of business clearly: "Your business is digital or you don't have a business." While 2021 holds promise for business technology there will be multiple unknowns ahead. We don't have all the answers, but certainly have a few working theories to test via our editorial leaders around the world.


Our Top 10 Digital Law Predictions For 2021 - Technology - Australia

#artificialintelligence

But there is no doubt that the pandemic has hastened the adoption of emerging digital technologies, ushered in a new era of remote and flexible working arrangements, increased organisations' reliance on digital infrastructure and exposed our tech-related strengths and weaknesses alike. Leaving 2020 in the rear-view mirror, we count down our top 10 predictions for 2021 and beyond in the domain of Digital Law in Australia. Despite an existing principles-based framework for the protection of privacy under the Privacy Act, in recent years the Federal Government has preferred to introduce parallel privacy requirements, such as the 13 Privacy Safeguards under the Consumer Data Right legislation and the privacy aspects of the upcoming Data Availability and Transparency Act for Government agencies. These nascent regimes are similar enough to the existing privacy regime to encourage complacency and different enough to give any compliance function a headache. Overlapping and often sectorial regulation adds to the increasing complexity of privacy law in Australia.


Technology Trends in Healthcare in 2021: The Rise of AI

#artificialintelligence

COVID-19 has become an unprecedented disruption to all facets of the healthcare industry in a very short amount of time. Although the healthcare technology industry has been slow growing in the past, innovation is needed to deal with the pandemic. AI in healthcare, as well as other important technologies, are critical to resolving the crisis and for generating future growth. To better understand where the healthcare technology industry is going, studying key tech trends is paramount. Although proven systems are often preferred for their reliability, businesses are always looking for new ways to improve their performance, productivity, and efficiency. Now, let's talk about healthcare technology trends in 2021. COVID-19 has greatly accelerated the use of telehealth resources.


What IT Leaders Expect from AI, ML in 2021

#artificialintelligence

At the end of each year, eWEEK posts observations from IT thought leaders about what they think we should all expect in the coming year--new products, innovative services, trends to look for, and so on. Here are some perspectives from a selection of thought leaders across the IT world. Inclusive engineering will begin to make its way into the mainstream to support diversity. In order to ensure diversity is baked into their AI plans, companies must also commit the time and resources to practice inclusive engineering. This includes, but certainly isn't limited to, doing whatever it takes to collect and use diverse datasets.


5 emerging career options for students to consider in 2021

#artificialintelligence

In India, choosing the right career path has always been critical for students who are passing out of school. With several industries being impacted by the pandemic, it has become doubly imperative for students to consider a profession that is not only recession-resilient but will continue to be in high demand in the future. Long before Covid-19, digitalisation and emerging technologies were changing the global work landscape. Professions that were once popular, like data entry, bookkeeping, and statistical clerks, to name a few, are becoming redundant and new professions are trending. While it's impossible to predict the future of every job role in the workplace, there are certain professions that can help safeguard your career.


Top Tech Conferences to Attend in 2020-2021 [UPDATED]

#artificialintelligence

Unprecedented advancements in technology and the growing complexity of the world's research challenges demand novel approaches to discovery and innovation. One way for leaders in STEM to stay ahead of this curve is by attending the nation's top tech conferences. These conferences are an excellent chance for STEM professionals to develop valuable connections, exchange groundbreaking ideas, share best practices, and learn new skills while staying abreast of emerging trends and practices in the ever-evolving technology landscape. However, with dozens of conferences to choose from, it can be challenging to select the right one for your organization. And, with the emergence of the COVID-19 global pandemic, it has become difficult to accurately plan for future events.