Today, enterprise data is growing exponentially and raising questions about how to manage big data for the best enterprise value.
In business, things can be going along well and then you can be faced with a challenging situation. The event may appear random at first, but then when you look at it in hindsight, there are usually signs that have been missed, perhaps because they were imperceptible at the time.
Kirstin Marr, Head of Insurity Analytics, Leads Panel Discussion on Next-Generation Analytics at
Marr's panel at InsureTech Connect, titled, "The Data Cloud Unleashes Next Gen Analytics in P&C," will explore how P&C carriers and MGAs can take advantage of data insights and predictive analytics in their underwriting and claims performance.
Marr's panel discussion will take place on Tuesday, October 5 at 10:30 a.m. PST.
Analytics Chip Startup Speedata Emerges from Stealth
There is no shortage of chip startups hoping to claim a piece of the emerging AI pie.
Speedata is developing an Analytics Processing Unit (APU) that is designed specifically to address the bottlenecks that are common in traditional analytics.
Like a host of emerging AI-specific chips, the Speedata APU is not based on a von Neumann architecture, which is the classic architecture that is traditionally used by CPUs and GPUs, says Speedata CEO and co-founder Jonathan Friedmann. However, that's where the similiaries end.
Speedata outta stealth with $70m in funding and speedy analytics processing chip – Blocks
Israeli startup Speedata revealed its existence today by showing off its big data analytics processing chip development and a $55 million funding round from keen VCs showing they think it's a good bet.
The big bet here is that data analytics workloads can run one to two orders of magnitude faster than x86 processors when running on the Speedata analytics processing unit (APU) chip. The APU does for analytics what GPUs do for graphics processing.
Why an Embedded Analytics Maturity Framework is Essential - DevOps.com
Contextual analytics , or embedding analytics directly into a business application's transactional environment and core workflows, is the most sophisticated stage of business intelligence (BI) currently available to organizations today.
Today, there is an increasing shift among organizations toward embedding transactional analytics into their enterprise applications. Because contextual analytics is the most advanced option in the market, there is also an increasing need for assessing our analytics readiness first.
Predictive Analytics Detects COVID-19 Infection
September 30, 2021 - Using predictive analytics, a set of seven symptoms together can be used to maximize the detection of COVID-19 in a community. The paper was published in PLOS Medicine by Elliott of Imperial College London's Marc Chadeau-Hyam, Paul Elliott, and colleagues.
Worth the Risk: Poole College Launches Master of Management, Risk and Analytics | News at Poole
With global risks on the rise, the use of data analytics has never been more important. Our new concentration –– offered fully online and asynchronously –– equips students to proactively identify emerging risks and strategically position the organization for success.
Given the disruptions and uncertainty of the last few years, risk management leaders know now – more than ever – about the importance of making data-informed decisions.
Center of Consumer Research and Analytics partners with OHIO IT for fall 2021 project
The COVID-19 pandemic resulted in an increased use of academic technologies at Ohio University. This increased demand has led many OHIO professors to use platforms in new and exciting ways, and it has also pushed vendors to enhance the features and services they offer.
Amidst all this change, it is important to re-assess the effectiveness of the current academic technology portfolio to ensure that the OHIO community is making the most of what is available, as well as to identify areas for improvement.
Prepare for a robust career through business and data analytics
Since 1947 , when the transistor was successfully demonstrated at Bell Laboratories, the world has experienced a data boom. It has achieved unprecedented computing power and other advancements in technologies such as mobile communications, transportation, genetics, medicine and space
By 1996, we could produce, alter and keep information beyond just paper. Digital storage, now cost-effective, has only grown more diverse since.
Happening on Twitter
Congratulations to Amplitude on going public! During YC, they were working on a different idea. When they switched… https://t.co/4WpzyLuOtP paulg Thu Sep 30 06:22:47 +0000 2021
Is seeking help from outside wrt who to bowl the next over based on some data analytics and match-ups ethical? The… https://t.co/r3sZOdZaqI cricketaakash (from Mumbai, India) Thu Sep 30 07:47:49 +0000 2021
SCOOP: For years, ICE has been buying FALCON — a data mining/analytics tool that's been used to organize workplace… https://t.co/e9JDUQ4Zx5 caro1inehaskins (from NYC) Thu Sep 30 15:46:15 +0000 2021
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