Big data it is often hyped, but I encourage taking a more realistic stance. I?ve seen many organizations attempt to adopt big data solutions and ultimately fail. I fear these missteps may eventually sour the market on adopting big data solutions. This would be unfortunate, because I view big data as a transformational capability, an essential part of a new IT infrastructure. To ensure greater success, this post presents common barriers to adoption that I?ve observed and provides insight into how to adapt and overcome these challenges.
Over the past few years, big data has emerged to a great extent. Right from the industrial data to customer-centric behavioral data, High-performance analytics lets you do things you never thought about before because the data volumes were just way too big. This ultimately ends up in gaining timely insights... Read more »
by Angela Guess According to a recent press release, ?IBM and Hortonworks today announced an expansion to their relationship focused on extending data science and machine learning to more developers and across the Apache Hadoop ecosystem. The companies are combining Hortonworks Data Platform (HDP®) with IBM Data Science Experience and IBM Big SQL into new ?
The Trump administration aims to eliminate many regulations and make it more difficult to adopt new ones. More subtle and dangerous are attempts in Congress to undermine public health and environmental protections by limiting the use of scientific evidence under the guise of increased transparency. This effort, which as envisioned by U.S. Environmental Protection Agency (EPA) leadership would greatly reduce the amount of science used in decision-making, undermines the credibility and application of scientific evidence, weakens the scientific enterprise, and imperils public and environmental health.
Considering all the time and effort you put into planning and executing these tests, this should be a definite wakeup call. A/B testing practices need to be improved in order to eliminate the obvious inefficiencies of the current process and to yield much more accurate results.
Recognizing the importance of biodiversity to human well-being, most nations have committed to the Convention on Biological Diversity's Aichi Biodiversity Targets and the Sustainable Development Goals. However, the pressures on biodiversity are increasing, and its status is declining globally ( 1 ), raising concerns that national plans and targets are not ambitious enough ( 2 ) and showing that new solutions are needed ( 3 ). Recognition of synergies among different targets and goals ( 4 ) has brought forest to the forefront of national land-use decision-making, which must balance multiple objectives that all demand land ( 5 ). Efforts to support decision-making on forests have focused on individual (typically vertebrate) species and on carbon and other ecosystem services. Highly resolved views of functional trait variation in tropical forests reported by Asner et al. on page 385 of this issue ( 6 ) may provide a further basis for making such decisions.
by Angela Guess A new press release out of the company reports, ?Fujitsu has unveiled a new healthcare solution designed to improve clinical decision-making, following a successful field trial with San Carlos Clinical Hospital in Madrid. The solution has been developed on the back of the company?s in-depth research into applying advanced data analytics for ?
?Data is not smart in its own right; rather, it?s only smart if it drives smart decisions,? says James Kobielus, IBM?s Big Data evangelist, delivering the keynote address at the DATAVERSITY® Smart Data Online 2016 Conference. He considers his core focus, Big Data, as ?a subset of the broader concept of Smart Data.?
by Angela Guess A recent press release out of the company states, ?Varian Medical Systems today announced the release of InSightive analytics v1.2. The software solution can now support both radiation and medical oncology data analytics for more informed decision making. InSightive allows users to easily explore their clinical and operational data to uncover trends ?
by Angela Guess Luca Scagliarini recently wrote in ITProPortal, ?Speed and scale were once the most important features of computing power but the so-called ?information era? has radically changed the business drivers of any organisation, putting data at the centre of their strategies. Today, intelligent systems making sense of information enable the most effective data-driven ?
The third and current wave of IT began a couple years ago and is based on the utilization of data (including Big Data) to derive benefits from the advantages gained in hardware and software. The usage of data to drive smart applications and improve decision making is based on:
by Angela Guess Brian Taylor of Tech Republic reports, ?Enterprises should not be asking whether they have the data, APT?s VP of client services Rupert Naylor said in a telephone interview with TechRepublic, but how to best analyze it and make better sales and marketing decisions. Applied Predictive Technologies (APT) is a cloud-based predictive analytics software company headquartered ?
Even as adoption of Big Data technology is on the rise to make better business decisions, companies are also concerned about lack of skilled workforce to keep pace with the rate of IT innovation, a study by IT firm EMC said. According to the study, 91% respondents from India said...Read more »
by Angela Guess A recent article out of Accenture Research finds: ?Organizations are progressing in the adoption of analytics for decision making, according to new research from Accenture (NYSE: ACN). However, there is still a prevalent disconnect between analytics capabilities organizations have built and how successfully they put them to use for business decision-making. The ?
by Angela Guess Pete Stiglich recently wrote for the Perficient Health IT blog, ?When you hear some talk about Data Governance, it is hard to decipher whether they?re really talking about Data Governance or if they?re really talking about Data Management or some ambiguous conglomeration of the two. The DAMA Dictionary of Data Management defines ?