Welcome!

News Feed Item

Golden Star Announces Mineral Reserves and Resources Estimates as at December 31, 2013

Continued growth in Mineral Reserves and Resources at Wassa

TORONTO, ONTARIO -- (Marketwired) -- 02/10/14 -- Editors note: There are 3 photos associated with this release.

Golden Star Resources Ltd. (TSX: GSC)(NYSE MKT: GSS)(GHANA: GSR) ("Golden Star" or the "Company") is pleased to announce its Proven and Probable Mineral Reserves (collectively "Mineral Reserves") and Mineral Resources as of December 31, 2013.

Highlights of this announcement are as follows:

--  Company Mineral Reserve ounces declined by 8% to 3.9 million oz from
    depletion and a lower gold price assumption of $1,300 per oz
--  Company Measured and Indicated Mineral Resource ounces declined by 14%
    to 6.4 million oz with lower gold price assumption of $1,400 per oz
--  Wassa Mineral Reserves increased 34% to 2.0 million oz; 10% more tonnes
    at 22% higher average grade of 1.75 g/t Au
--  Wassa Measured and Indicated Mineral Resources increased 29% to 3.3
    million oz at 25% higher average grade of 2.0 g/t Au
--  Mineral Reserves in active pits at Bogoso decreased to 394,000 oz; hard
    rock mining scheduled for completion in Q3 2015
--  Tailings reclaim at Bogoso continues to fill the oxide plant to
    capacity. Currently unclassified, this material is expected to be
    upgraded to Mineral Resource and Reserve during 2014

Sam Coetzer, President and CEO of Golden Star, commented:

"This updated Mineral Resource and Reserve estimate supports the Company's strategy to move towards being a lower cost non-refractory gold producer. Following the positive outcome of the feasibility study on Prestea Underground mine, 430,000 ounces of high grade Mineral Reserves have been included in our estimates. Strong Mineral Resource and Reserve growth at Wassa highlights the importance of this asset to the Company's future. The encouraging results to date from our ongoing drill program support an economic study on a potential high grade underground mine at Wassa. Results of this study are expected by mid-year."

Mineral Reserve and Mineral Resource Estimation

The Mineral Reserve and Mineral Resource estimates have been compiled by the Company's technical personnel in accordance with definitions and guidelines set out in the Definition Standards for Mineral Resources and Mineral Reserves adopted by the Canadian Institute of Mining, Metallurgy, and Petroleum and as required by Canada's National Instrument 43-101 - Standards for Disclosure for Mineral Projects ("NI 43-101").

Mineral Reserves and Mineral Resources were estimated using a gold price of $1,300 and $1,400 per ounce, respectively.

Mineral Reserves

Mineral Reserves as of December, 31 2013 declined by 8% from December 31, 2012, largely as a result of mining depletion and the lower gold price assumptions used. Mineral Reserves were estimated on a gold price assumption of $1,300 per ounce; lower than the gold price assumption of $1,450 per ounce in the Company's December 31, 2012 estimate.

During 2013, the Company's development strategy focused on drilling at Wassa, where the Company increased Proven and Probable Mineral Reserves by 34% from December 31, 2012. This is despite a reduction in the gold price assumption used and depletion of 206,000 ounces of Mineral Reserves over the period. The cutoff grade used to determine the Wassa Main Mineral Reserves was 0.76 grams of gold per tonne ("g/t Au") and the life of mine strip ratio for Wassa Main is expected to be 6.0:1. Mineral Reserve grade at Wassa Main increased by 23% to 1.72 g/t Au. The bulk of this increased grade is as a result of the inclusion of higher grade ore at depth.

At Bogoso, mining depletion resulted in a reduction in Mineral Reserves in the actively mined Chujah and Bogoso North pits of 28%. Mining in these pits is expected to continue until Q3 2015. Grade in these pits is in line with previous estimates. Cutoff grades used to determine the Mineral Reserves in these pits averaged 1.5 g/t Au. After anticipated completion of the current pushbacks in the Chujah and Bogoso North pits in the second quarter of 2014, the remaining life of mine stripping ratio should be 2.0:1.

Mineral Reserves in Bogoso's open pit development projects reduced by 53% with the lower gold price assumption although grades increased by 7%. A Mineral Reserve estimate for Prestea Underground has been included for the first time subsequent to the conclusion of a positive feasibility study in June of 2013.

----------------------------------------------------------------------------
               Dec 31, 2013         Dec 31, 2013           Dec 31, 2013
              Proven Mineral      Probable Mineral     Proven and Probable
                 Reserve               Reserve           Mineral Reserve
          ------------------------------------------------------------------
           tonnes  grade ounces  tonnes  grade ounces   tonnes  grade Ounces
            (000) g/t Au  (000)   (000) g/t Au  (000)    (000) g/t Au  (000)
----------------------------------------------------------------------------
Wassa Main      -      -      -  33,721   1.72  1,863   33,721   1.72  1,863
----------------------------------------------------------------------------
Father
 Brown          -      -      -     694   4.31     96      694   4.31     96
----------------------------------------------------------------------------
Stockpiles    438   0.68     10      59   0.54      1      497   0.67     11
----------------------------------------------------------------------------
Subtotal
 Wassa        438   0.68     10  34,473   1.77  1,960   34,911   1.75  1,970
----------------------------------------------------------------------------
Bogoso      2,930   2.65    250   1,731   2.59    144 4,661.52   2.63 394.02
----------------------------------------------------------------------------
Dumasi      3,116   2.39    239   5,826   2.36    443    8,941   2.37    682
----------------------------------------------------------------------------
Mampon          -      -      -   1,133   5.24    191    1,133   5.24    191
----------------------------------------------------------------------------
Prestea
 South        969   2.74     85   2,170   2.52    176    3,139   2.59    261
----------------------------------------------------------------------------
Prestea
 Under-
 ground         -      -      -   1,434   9.61    443    1,434   9.61    443
----------------------------------------------------------------------------
Stockpiles    106   1.79      6       -      -      -      106   1.79      6
----------------------------------------------------------------------------
Subtotal
 Bogoso     7,122      3    581  12,294      4  1,397   19,415      3  1,977
----------------------------------------------------------------------------
Total       7,559   2.43    590  46,767   2.23  3,357   54,327   2.26  3,947
----------------------------------------------------------------------------

Notes to the Mineral Reserve Statement:

1.  The stated Mineral Reserve for Bogoso includes the currently operational
    pits of Bogoso North and Chujah.
2.  The stated Mineral Reserves have been prepared in accordance with the
    requirements of NI43-101 - Standards of Disclosure for Mineral Projects
    and are classified in accordance with the Canadian Institute of Mining,
    Metallurgy and Petroleum's "CIM Definition Standards - For Mineral
    Resources and Mineral Reserves". Mineral Reserve estimates reflect the
    Company's reasonable expectation that all necessary permits and
    approvals will be obtained and maintained. Mining dilution and mining
    recovery vary by deposit and have been applied in estimating the Mineral
    Reserves.
3.  The 2013 Mineral Reserves were prepared under the supervision of Dr.
    Martin Raffield, Senior Vice President Technical Services for the
    Company. Dr. Raffield is a "Qualified Person" as defined by Canada's NI
    43-101.
4.  The Mineral Reserves at December 31, 2013 were estimated using a gold
    price assumption of $1,300 per ounce.
5.  The slope angles of all pit designs are based on geo-technical criteria
    as established by external consultants. The size and shape of the pit
    designs are guided by consideration of the results from a pit
    optimization program. The parameters for the pit optimization program
    are based on a gold price of $1,300 per ounce, and historical and
    projected operating costs at Bogoso and Wassa. Metallurgical recoveries
    are based on historical performance or estimated from test work and
    typically range from 60% to 95% for non-refractory ores and from 70% to
    85% for refractory ores. A government royalty of 5% is included in the
    Mineral Reserves.
6.  Numbers may not add due to rounding.

Reconciliation of Mineral Reserves

The attached graphs present the Wassa, Bogoso and Company combined Mineral Reserve Reconciliation on an ounces basis between the December 31, 2012 and December 31, 2013.

Notes to the reconciliation of Mineral Reserves:

1.  Gold price change represents changes resulting from a decrease in gold
    price used in the Mineral Reserve estimates from $1,450 per ounce as at
    December 31, 2012 to $1,300 per ounce as at December 31, 2013.
2.  Exploration changes include changes due to geological modeling, data
    interpretation, resource block modeling methodology and completion of
    feasibility studies as well as exploration discovery of new
    mineralization.
3.  Mining depletion represents the 2012 Mineral Reserve within the volume
    mined in 2013 with adjustments to account for stockpile addition and
    depletions during 2013 and, therefore, does not correspond with 2013
    actual gold production.
4.  Engineering includes changes as a result of changes in operating costs,
    mining dilution and recovery assumptions, metallurgical recoveries, pit
    slope angles and other mine design and permitting considerations.
5.  Numbers may not add due to rounding.

Mineral Resources

The Measured and Indicated Mineral Resources reported below are inclusive of the Proven and Probable Mineral Reserves as shown above and have been estimated in accordance with the requirements of NI 43-101. Previously the Company reported Mineral Resources exclusive of Mineral Reserves. This change in reporting has been made to align the Company with what it believes to be best practice in Canada. All comparisons made are to December 31, 2012 Measured and Indicated Mineral Resources inclusive of Mineral Reserves.

The total Measured and Indicated Mineral Resources as well as the Inferred Mineral Resources have been estimated on a gold price assumption of $1,400 per ounce for December 31, 2013; lower than the gold price assumption of $1,750 in the December 31, 2012 estimate. The economic cut-off grades for Mineral Resources are lower than those for Mineral Reserves and are indicative of the fact that the Mineral Resource estimates include material that may become economically viable under more favorable conditions including increases in gold price.

Wassa's total Measured and Indicated Mineral Resource has increased by 29% from 31 December 2012. This is largely due to the 37% increase in the Mineral Resource within the Wassa Main pit design and the inclusion of 289,000 ounces of Mineral Resource from the Wassa Underground deposit that sits below it.

The Measured and Indicated Mineral Resource in Father Brown and Father Brown Underground has decreased as a result of the reduction in the gold price assumption. Overall, the Measured and Indicated Mineral Resource grade for Wassa has increased from 1.59 g/t Au to 2.02 g/t Au.

Bogoso's Mineral Resource declined 35% from the last estimate primarily due to the lower gold price assumption used and to depletion in the pits where mining is currently ongoing. Overall grades increased in the Bogoso Measured and Indicated Mineral Resource by 15% and by 17% in the current mining pits.

----------------------------------------------------------------------------
                 Dec 31, 2013         Dec 31, 2013         Dec 31, 2013
               Measured Mineral    Indicated Mineral  Measured and Indicated
                   Resources           Resources         Mineral Resources
             ---------------------------------------------------------------
                     grade                grade                 grade
              tonnes   g/t ounces  tonnes   g/t ounces   tonnes   g/t ounces
               (000)    Au  (000)   (000)    Au  (000)    (000)    Au  (000)
----------------------------------------------------------------------------
Wassa Main       270  1.44     13  44,812  1.78  2,568   45,082  1.78  2,580
----------------------------------------------------------------------------
Wassa
 Underground       -     -      -   2,446  3.67    289    2,446  3.67    289
----------------------------------------------------------------------------
Father Brown       -     -      -     692  3.86     86      692  3.86     86
----------------------------------------------------------------------------
Father Brown
 Underground       -     -      -   1,000  6.47    208    1,000  6.47    208
----------------------------------------------------------------------------
Wassa Other        -     -      -   2,115  2.40    163    2,115  2.40    163
----------------------------------------------------------------------------
Subtotal
 Wassa           270  1.44     13  51,066  2.02  3,314   51,336  2.02  3,327
----------------------------------------------------------------------------
Bogoso         2,697  2.94    255   1,856  2.95    176    4,553  2.94    431
----------------------------------------------------------------------------
Dumasi         3,255  2.56    268   9,868  2.41    764   13,123  2.45  1,032
----------------------------------------------------------------------------
Mampon             -     -      -   1,553  4.79    239    1,553  4.79    239
----------------------------------------------------------------------------
Prestea South    986  2.87     91   3,318  2.62    279    4,304  2.67    370
----------------------------------------------------------------------------
Prestea
 Underground       -     -      -   1,356 14.50    632    1,356 14.50    632
----------------------------------------------------------------------------
Bogoso Other       -     -      -   3,835  2.64    325    3,835  2.64    325
----------------------------------------------------------------------------
Subtotal
 Bogoso        6,938  2.75    614  21,786  3.45  2,415   28,724  3.28  3,029
----------------------------------------------------------------------------
Total          7,208  2.70    627  72,852  2.45  5,729   80,060  2.47  6,356
----------------------------------------------------------------------------

Wassa's total Inferred Resource has decreased by 72% from 31 December 2012. This is largely due to the conversion of Inferred Resources to Indicated Resources following the extensive drill program at Wassa Main during 2013, which led to an increase of the Measured and Indicated Resource within the Wassa Main optimized shell as announced in November 2013.

Bogoso's Mineral Inferred Resource declined 34% from the last estimate. This is primarily due to the lower gold price assumption used for the 2013 Mineral Resource disclosure. Overall grades increased by 12% in comparison to 2012.

----------------------------------------------------------------------------
                                  Dec 31, 2013 Inferred Mineral Resources
                               ---------------------------------------------
                                    tonnes            grade           ounces
                                     (000)           g/t Au            (000)
----------------------------------------------------------------------------
Wassa Main                             313             1.28               13
----------------------------------------------------------------------------
Wassa Underground                      646             3.10               64
----------------------------------------------------------------------------
Father Brown                            40             1.85                2
----------------------------------------------------------------------------
Father Brown Underground               881             6.35              180
----------------------------------------------------------------------------
Wassa Other                             85             2.93                8
----------------------------------------------------------------------------
Subtotal Wassa                       1,964             4.23              267
----------------------------------------------------------------------------
Bogoso                                 288             2.08               19
----------------------------------------------------------------------------
Dumasi                                   -                -                -
----------------------------------------------------------------------------
Mampon                                 221             1.79               13
----------------------------------------------------------------------------
Prestea South                          581             6.00              112
----------------------------------------------------------------------------
Prestea Underground                  3,289             8.02              848
----------------------------------------------------------------------------
Bogoso Other                           892             2.37               68
----------------------------------------------------------------------------
Subtotal Bogoso                      5,024             6.46            1,044
----------------------------------------------------------------------------
Total                                6,989             5.84            1,311
----------------------------------------------------------------------------

Notes to the Measured and Indicated Mineral Resource and the Inferred Mineral Resources:

1.  The Mineral Resources were estimated in accordance with the requirements
    of NI 43-101.
2.  The Mineral Resources for Wassa Other include Benso and Chichiwilli.
3.  The Mineral Resources for Bogoso Other include Buesichem and Ablifa.
4.  The Wassa Underground Mineral Resource has been estimated below the
    $1,400 per ounce of gold pit shell using an economic gold grade cut-off
    of 2.6 g/t Au, which the Company believes would be the lower cut-off for
    underground.
5.  The Father Brown Underground Mineral Resource has been estimated below
    the $1,400 per ounce of gold pit shell using an economic gold grade cut-
    off of 2.9 g/t Au, which the Company believes would be the lower cut-off
    for underground.
6.  Prestea Underground Mineral Resource has been estimated below the $1,400
    pit shell of Prestea South down to 3800m elevation using a gold cut-off
    at 4.74 g/t Au
7.  Mineral Resources were estimated using optimized pit shells at a gold
    price of $1,400 per ounce. Other than gold price, the same optimized pit
    shell parameters and modifying factors used to determine the Mineral
    Reserves were used to determine the Mineral Resources.
8.  The Qualified Person reviewing and validating the estimation of the
    Mineral Resources is S. Mitchel Wasel, Golden Star Resources Vice
    President of Exploration.
9.  Numbers may not add due to rounding.

Mineral Resource and Mineral Reserve Development

The Company is currently drilling the Wassa Main deposit to determine the ultimate size of the deposit as well as to improve the understanding of the deposit. The dill program includes 20,000 meters of infill drilling and step-out drilling 250 meters to the south of the currently defined ore body. Early results from the drill program, which are not included in this Mineral Resource and Mineral Reserve update, were announced on January 30, 2014.

The Company's strategy is to grow production from low cost non-refractory ore sources whilst reducing overall operating costs. The expansion of the Wassa ore body and the potential development of an underground mine at Wassa are central to this strategy. The current Wassa Mineral Resource of 2.6 million ounces includes 289,000 ounces reflected as Wassa Underground Mineral Resource. It is possible that a greater proportion of the Mineral Resource will ultimately be mined by underground methods rather than in an open pit. A preliminary economic assessment of Wassa has recently commenced which will determine what portion of the enlarged ore body would be optimally mined via underground methods. The study is expected to be completed by the third quarter of 2014.

Company Profile:

Golden Star is an established gold mining company that holds a 90% interest in both the Bogoso and Wassa open-pit gold mines in Ghana. Golden Star also has a 90% interest in the Prestea Underground mine in Ghana, which is currently undergoing permitting subsequent to a successful feasibility study completed in June 2013. In 2013, Golden Star sold 331,000 ounces of gold and the Company expects to produce 295,000 to 320,000 ounces of gold in 2014.

For further information on the Company, please visit www.gsr.com.

Statements Regarding Forward-Looking Information:

Some statements contained in this news release are forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 and under Canadian securities laws. Such statements include the Company's estimates of Mineral Reserves and Mineral Resources; the timing for updating resource models in 2014; the upgrade of the tailings facility at Bogoso to Mineral Resource and Mineral Reserve during 2014; the life of mine stripping ratio at each of Wassa and Bogoso; the life of the Company's mines; the Company's 2014 production; the Company's ability to obtain and maintain all necessary permits and approvals; the timing of the preliminary economic assessment for Wassa underground mining; and the Company's 2014 exploration activities. Investors are cautioned that forward-looking statements are inherently uncertain and involve risks and uncertainties that could cause actual facts to differ materially. There can be no assurance that future developments affecting the Company will be those anticipated by management. Please refer to the discussion of these and other factors in our Form 10-K for 2013. The forecasts contained in this press release constitute management's current estimates, as of the date of this press release, with respect to the matters covered thereby. We expect that these estimates will change as new information is received. While we may elect to update these estimates at any time, we do not undertake any estimate at any particular time or in response to any particular event.

Technical Information and Quality Control:

The technical contents of this press release have been reviewed by S. Mitchel Wasel, BSc Geology, a Qualified Person pursuant to NI 43-101. Mr. Wasel is Vice President Exploration for Golden Star and an active member of the Australasian Institute of Mining and Metallurgy. The 2013 estimates of Mineral Reserves were prepared under the supervision of Dr. Martin Raffield, Senior Vice President Technical Services for the Company. Dr. Raffield is a "Qualified Person" as defined by NI 43-101.

The results for Wassa quoted herein are based on the analysis of saw-split HQ/NQ diamond half core or a three kilogram ("kg") single stage riffle split of a nominal 25 to 30 kg Reverse Circulation chip sample which has been sampled over nominal one meter intervals (adjusted where necessary for mineralized structures). Sample preparation and analyses have been carried out at SGS Laboratories, which is independent of the Company, in Tarkwa using a 1,000 gram slurry of sample and tap water which is prepared and subjected to an accelerated cyanide leach (LEACHWELL). The sample is then rolled for twelve hours before being allowed to settle. An aliquot of solution is then taken, gold extracted into Di-iso Butyl Ketone (DiBK), and determined by flame Atomic Absorption Spectrophotometry (AAS). Detection Limit 0.01ppm.

The results for Bogoso herein are based on the analysis of saw-split HQ sized (64mm) diamond half core or a three kilogram single stage riffle split of a nominal 25 to 30 kg Reverse Circulation chip sample which has been sampled over nominal one meter intervals (adjusted where necessary for mineralized structures). Sample preparation and analyses have been carried out at SGS Laboratories in Tarkwa using a 50 gram assay charge with a flame Atomic Absorption Spectrophotometry (AAS) finish and a detection limit of 0.01 ppm.

All analytical work is subject to a systematic and rigorous Quality Assurance-Quality Control. At least 5% of samples are certified standards and the accuracy of the analysis is confirmed to be acceptable from comparison of the recommended and actual "standards" results. The remaining half core is stored on site for future inspection and detailed logging, to provide valuable information on mineralogy, structure, alteration patterns and the controls on gold mineralization.

Cautionary Note to US Investors Concerning Estimates of Measured and Indicated Mineral Resources

This press release uses the terms "Measured Mineral Resources" and "Indicated Mineral Resources". The Company advises US investors that while these terms are recognized and required by National Instrument 43-101, the US Securities and Exchange Commission ("SEC") does not recognize them. Also, disclosure of contained ounces is permitted under Canadian regulations; however the SEC generally requires Mineral Resource information to be reported as in-place tonnage and grade. US Investors are cautioned not to assume that any part or all of the mineral deposits in these categories will ever be converted into Mineral Reserves.

Cautionary Note to US Investors concerning estimates of Inferred Mineral Resources

This press release uses the term "Inferred Mineral Resources". The Company advises US investors that while this term is recognized and required by National Instrument 43-101, the SEC does not recognize it. "Inferred Mineral Resources" have a great amount of uncertainty as to their existence, and great uncertainty as to their economic and legal feasibility. It cannot be assumed that all or any part of Inferred Mineral Resources will ever be upgraded to a higher category. In accordance with Canadian rules, estimates of Inferred Mineral Resources cannot form the basis of feasibility or other economic studies. US investors are cautioned not to assume that any part or all of the Inferred Mineral Resource exists, or is economically or legally mineable.

To view Graph 1, please visit the following link: http://www.marketwire.com/library/20140209-gsr210-F1-g.jpg.

To view Graph 2, please visit the following link: http://www.marketwire.com/library/20140209-gsr210-F2-g.jpg.

To view Graph 3, please visit the following link: http://www.marketwire.com/library/20140209-gsr210-F3-g.jpg.

Contacts:
Golden Star Resources
Jeff Swinoga
Executive Vice President and Chief Financial Officer
416-583-3803

Golden Star Resources
Angela Parr
Director Investor Relations
416-583-3815
[email protected]
www.gsr.com

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.