The EU calls GDPR «the most
important change in data privacy regulation in 20 years.»
Not exact matches
Elsewhere, digital photography is used to capture and analyze
data in thousands of other fields as well, from nature photographers documenting never - before - seen flora and fauna to revolutionaries snapping and sending photos that will spark
change, proving that digital photography truly is one of the most
important advancements
in the history of technology.
«We'll always make the
important platform
changes, trying to strike the right balance between creating compelling social experiences, protecting people's
data, and supporting an innovative developer ecosystem,» Archibong told Business Insider
in an emailed statement.
In the wake of the Cambridge Analytica
data misuse scandal, Facebook has announced
important changes to its app platform, along with improvements to its official bug bounty program that will incentivize and reward security researchers for hunting down third - party Facebook apps that misuse user
data.
Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those
in the forward - looking statements include, but are not limited to, operating
in a highly competitive industry;
changes in the retail landscape or the loss of key retail customers; the Company's ability to maintain, extend and expand its reputation and brand image; the impacts of the Company's international operations; the Company's ability to leverage its brand value; the Company's ability to predict, identify and interpret
changes in consumer preferences and demand; the Company's ability to drive revenue growth
in its key product categories, increase its market share, or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility
in commodity, energy and other input costs;
changes in the Company's management team or other key personnel; the Company's ability to realize the anticipated benefits from its cost savings initiatives;
changes in relationships with significant customers and suppliers; the execution of the Company's international expansion strategy; tax law
changes or interpretations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions
in the United States and
in various other nations
in which we operate; the volatility of capital markets; increased pension, labor and people - related expenses; volatility
in the market value of all or a portion of the derivatives we use; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of
data or breaches of security; the Company's ability to protect intellectual property rights; impacts of natural events
in the locations
in which we or the Company's customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; the Company's ownership structure; the impact of future sales of its common stock
in the public markets; the Company's ability to continue to pay a regular dividend;
changes in laws and regulations; restatements of the Company's consolidated financial statements; and other factors.
Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those
in the forward - looking statements include, but are not limited to, increased competition; the Company's ability to maintain, extend and expand its reputation and brand image; the Company's ability to differentiate its products from other brands; the consolidation of retail customers; the Company's ability to predict, identify and interpret
changes in consumer preferences and demand; the Company's ability to drive revenue growth
in its key product categories, increase its market share or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility
in commodity, energy and other input costs;
changes in the Company's management team or other key personnel; the Company's inability to realize the anticipated benefits from the Company's cost savings initiatives;
changes in relationships with significant customers and suppliers; execution of the Company's international expansion strategy;
changes in laws and regulations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; failure to successfully integrate the business and operations of the Company
in the expected time frame; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions
in the nations
in which the Company operates; the volatility of capital markets; increased pension, labor and people - related expenses; volatility
in the market value of all or a portion of the derivatives that the Company uses; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of
data or breaches of security; the Company's inability to protect intellectual property rights; impacts of natural events
in the locations
in which the Company or its customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; tax law
changes or interpretations; and other factors.
George Carras, president of RealNet Canada Inc., which gathers and sells real - estate
data, suggested that part of the problem is that the way the numbers are analyzed hasn't
changed since condos came to be such an
important force
in the market.
But as Zuckerberg said, the most
important change may have come
in 2014, when Facebook limited developers» access to
data on users» friends.
In an event co-hosted with Bloomberg, the New York Alternative Investment Roundtable's April event will feature a panel of technology experts who will discuss the rapidly
changing ways that the alternative investment community does business and what they should be aware of — from regulatory and compliance considerations; to cybersecurity; big
data; cloud computing and storage; artificial intelligence; machine learning; distributed ledger and other
important changes.
When major figures like Halperin ask questions about the generally favored candidate (
in this case Obama), does that indicate an
important change in the electoral polling
data?
If this analysis of the BES
data is indicative then dramatic
changes are
in store for the geography of electoral competition
in May 2015 with
important implications for seats.
«These are
important data to discuss with patients, because some women may accept a higher local recurrence risk
in exchange
change for better cosmetic satisfaction,» says Swanick.
The
data is
important for climate
change models, since the emissions released by thawing permafrost could significantly affect levels of greenhouse gases
in the atmosphere.
«The quality of the southern African
data allowed us to make these correlations between climate and behavioural
change, but it will require comparable
data from other areas before we can say whether this region was uniquely
important in the development of modern human culture» added Professor Stringer.
The
data reveal that both mechanisms — monetary reward and
changes in bargaining power — are
important when the gender wage gap narrows.
The authors conclude that «the
data strongly support the view that human emissions play an
important role
in climate
change and represent a key test for climate
change theory.»
The scientists say that baseline
data they collected and modeling predictions are
important for comparative studies, especially if significant
changes in amphibian health status or climatic conditions are encountered
in the future.
These
important new
data support the use of joint fluid as a readily available alternative to study the role of these
changes in the onset of joint disease and
in the clinical management of this condition.
«It's
important to know which species can adapt their morphology and behavior»
in response to climate
change, she says, and collecting
data on such phenomena will help set priorities for conserving species.
Imagery
in the ocean is becoming increasingly
important in terms of
data that scientists need to measure multiple physical and biological
changes occurring underwater.
Nevertheless, serious
data gaps limit the ability to measure results — and particularly
changes in performance — on a number of
important issues.
Acknowledging that prescription patterns may have
changed since the
data was collected, it is
important to continue to assess the pattern and distribution of psychiatric medications to children and adolescents
in the U.S.»
Others have used tide gauge
data to measure GMSL acceleration, but scientists have struggled to pull out other
important details from tide - gauge
data, such as
changes in the last couple of decades due to more active ice sheet melt.
«Viewing the
data on thousands of tornadoes that have been reliably recorded
in the United States over the past half - century as a population has permitted us to ask new questions and discover new,
important changes in outbreaks of these tornadoes,» Cohen said.
Modeling
changes in the observed harmonic frequencies indicates that the spectral characteristics of seismic
data can provide
important information about hydraulic fracture geometry and fluid pressure at depth, leading to
important insights into subglacial hydrologic processes.
It is
important to the de-extinction effort because it shows (as our
data do) that passenger pigeon populations fluctuated
in size through time, as resource availability
changed.
It is very
important that we know how sensitive our predictions are to any uncertainty
in input
data or parameter values, so we can
change values and investigate the impact on the predictions (see below).
It is
important to regard the LGM studies as just one set of points
in the cloud yielded by other climate sensitivity estimates, but the LGM has been a frequent target because it was a period for which there is a lot of
data from varied sources, climate was significantly different from today, and we have considerable information about the
important drivers — like CO2, CH4, ice sheet extent, vegetation
changes etc..
Similarly, many studies that attempt to examine the co-variability between Earth's energy budget and temperature (such as
in many of the pieces here at RC concerning the Spencer and Lindzen literature) are only as good as the assumptions made about base state of the atmosphere relative to which
changes are measured, the «forcing» that is supposedly driving the
changes (which are often just things like ENSO, and are irrelevant to radiative - induced
changes that will be
important for the future), and are limited by short and discontinuous
data records.
These
data suggest that if diurnal leptin pulse amplitude is a signal regulating energy balance, it is less
important than the putative
change in CNS leptin sensitivity observed
in the present study.
We believe this would be particularly
important considering our recently published
data showing metabolic
changes measured with FDG - PET
in areas that correspond to hubs of both networks
in subjects with mild cognitive impairment (MCI) after 24 weeks of aerobic training (Porto et al., 2015).
The resulting information about teaching quality along with
data collected about other
important school - based factors is used by IDRA
in conjunction with school districts to inform the plan for transformational
change.
In such cases, it is
important that regular
data about the students» progress are collected and reviewed so that the instruction can be
changed if the students do not make effective progress.
As schools adapt and
change their curriculum models over the next few years, this curriculum time
data will be particularly
important for monitoring national trends
in what
changes schools make to the KS3 curriculum.
* Read the previous blogs
in our series, ESSA Implementation: Keeping Students with Disabilities In School, A Sea Change in Defining and Responding to Poor Attendance, High Quality Attendance Data is More Important Than Ever, and Making the Most of Attendance Indicator
in our series, ESSA Implementation: Keeping Students with Disabilities
In School, A Sea Change in Defining and Responding to Poor Attendance, High Quality Attendance Data is More Important Than Ever, and Making the Most of Attendance Indicator
In School, A Sea
Change in Defining and Responding to Poor Attendance, High Quality Attendance Data is More Important Than Ever, and Making the Most of Attendance Indicator
in Defining and Responding to Poor Attendance, High Quality Attendance
Data is More
Important Than Ever, and Making the Most of Attendance Indicators.
What are the most
important things for you to do or consider
in order to make
changes based on
data?
Remind students that their
data will be used to suggest and actuate
change in the school, so it is
important that the plans are feasible.
* Read the previous blogs
in our series, A Sea
Change in Defining and Responding to Poor Attendance, High Quality Attendance
Data is More
Important Than Ever, and Making the Most of Attendance Indicators.
and are
important in a few key time - periods — the 1940s (because of issues highlighted previously), the 1860s to 1890s (more extensive
data), and perhaps the last few years (related to more minor
changes in technologies and corrections).
This paper has played a valuable role
in calling attention to
important work on the physics of tropical glaciers, that can help
in teasing out the record of tropical climate
change from glacier retreat
data.
We analysed responses of the calcifying larvae of sea urchins, an ecologically
important group, to ocean
change stressors
in a synthesis of
data from species from tropical to polar environments and from intertidal to subtidal habitats.
When faced with durable uncertainty on many fronts —
in the modeling of the atmosphere,
in data delineating past climate
changes, and more — pushing ever harder to boost clarity may be scientifically
important but is not likely to be very relevant outside a small circle of theorists.
I mean, obviously the actual time and date of ice out reflects
changes in (local) climate, but the guesses would reflect what people who live
in the region perceive as «normal» which would also be
important data.
No doubt the southern ocean, featured strongly by Hansen et al, plays an
important role, but
data there are poor, and
change is not well known;
in particular the recent hiatus
in global warming greatly influences any observations, which can therefore be quite misleading wrt trends.
Yes, the
data set for the polar regions is far more sparse and subject to educated extrapolations that other regions, but excluding any estimate at all for temperature
changes in these all
important polar regions by excluding them is to to give an incomplete and, IMO, quite inaccurate, view of climate
change.
(That's why,
in my opinion, ultimately all the
important arguments
in the climate
change debate end up being about the measured
data!)
C: increase
in atmospheric CO2 from pre-industrial to present is anthropogenic (D / A) S: best guess for likely climate sensitivity (NUM) s: 2 - sigma range of S (NUM) a: ocean acidification will be a problem (D / A) L: expected sea level rise by 2100
in cm (all contributions)(NUM) B: climate
change will be beneficial (D / A) R: CO2 emissions need to be reduced drastically by 2050 (D / A) T: technical advances will take care of any problems (D / A) r: the 20th century global temperature record is reliable (D / A) H: over the last 1000 years global temperature was hockey stick shaped (D / A) D:
data has been intentionally distorted by scientist to support the idea of anthropogenic climate
change (D / A) g: the CRU - mails are
important for the science (D / A) G: the CRU - mails are
important otherwise (D / A)
The 1942 «peak» is nowhere seen
in any other direct measurement (high resolution ice cores from Law Dome) neither
in stomata
data for the past century, neither
in coralline sponges, the latter based on 13C / 12C ratio's which certainly should
change if there was an
important change in inputs or outputs from vegetation or oceans.
«A significant improvement
in determining which Grand Minima are
important for climate
change came with the work of Sharpe (2008) using Jet Propulsion Laboratory DE405 ephemeris
data providing the results
in Figs. 10 and 11.
Both studies make an «
important contribution» to our understanding of how climate
change is likely to affect Arctic sea ice, says Dr Amber Leeson, a lecturer
in glaciology and environmental
data science from the University of Lancaster, who was not involved
in the research.